Podcasts about Sergey

Sergey Litvinenko, Co-Founder & CEO of Koop, joined Grayson Brulte on The Road to Autonomy podcast to discuss the financial and operational structures required to insure fleets of personally owned autonomous vehicles.As Tesla prepares to scale the Cybercab in 2026, the conversation explores the shift from personal ownership to personally owned fleets, where individuals form companies to own and operate commercial robotaxi businesses.During the episode, Sergey explains how the insurance P&L for a fleet owner is transformed by real-world behavior data, which serves as a more accurate risk predictor than traditional human-centric metrics. By leveraging high-fidelity data and specialized subrogation models, Koop is developing a framework that manages liability between the fleet owner and the vehicle manufacturer, clearing the path for the Autonomy Economy to scale through third-party ownership.Episode Chapters0:00 The Emergence of the Tesla Network 3:07 Insuring Cybercab and Personally-Owned Teslas8:59 Insuring and Deploying Personally-Owned Autonomous Vehicle Fleets22:50 Insurance Underwriting Capacity 25:22 Insurance Products 27:50 Changing Driving Habits31:14 Reinsurance32:30 Liability with No Pedals and Steering Wheel 38:38 Fleet Management 41:55 Future of Insuring Autonomous Vehicle Fleet OperationsRecorded on Friday, January 16, 2026--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Group Chat News is back with the biggest stories of the week including a new man is running for LA mayor, Trump wants to ban institutional investors from buying single-family homes, CA wealth tax update and what it could mean for Larry and Sergey's shares at Google, a new study shows social skills can make you the most money, Elon has an idea for future health care, and the first ever Golden Globes podcast awards plus much more!

Live from AIMExpo in Anaheim, the GarageCast team dives into the real challenges facing today's dealers—from rising advertising costs to industry fragmentation. We're joined by Sergey Tokman, dealer, entrepreneur, and host of One Gang Worldwide, for a candid conversation about collaboration over competition, mental health in the motorcycle community, and why shared best practices matter more than ever.

Under Putin, Russia has established a relationship with Venezuela, and was heavily involved in the country until recent years. The Chavez and then Maduro regimes bought Russian weapons with sizeable loans from the Kremlin, Moscow ordered its energy companies to invest in Venezuelan oil fields, and Russia boasted of having secured a foothold in the U.S.'s backyard. With Trump's swift and successful operation to arrest Maduro, the situation has changed. What are the implications for Russia's global posture? What can the Kremlin do, and will it do anything? Will deposing Maduro lead to a situation in which Venezuelan oil floods global markets with U.S. help?

Larry Page said in the early day, a guiding principle is Do No Evil. I wonder if we can say that today or is it just business as usual? Dave Young: Welcome to the Empire Builders Podcast, teaching business owners the not-so secret techniques that took famous businesses from mom-and-pop to major brands. Stephen Semple is a marketing consultant, story collector, and storyteller. I’m Stephen’s sidekick and business partner, Dave Young. Before we get into today’s episode, a word from our sponsor, which is, well, it’s us, but we’re highlighting ads we’ve written and produced for our clients. So, here’s one of those. [Out of this World Plumbing Ad] Dave Young: This is the Empire Builders Podcast, by the way. Dave Young here, Steve Semple there. I wonder, Stephen, if we could do this whole episode without mentioning the name of the company that we’re going to be talking about. I ask that for the simple reason of they already know. They already know what we’re talking about. They already know we’re talking about them. They probably knew we were going to talk about them. Stephen Semple: Because of all the research I’ve done on my computer. Dave Young: No, because they’re listening to everything. They probably already know the date that this is going to come out and how long it’s… I don’t know, right? When they first started, and I don’t think we felt that way about them, and I can remember back in the early 2000s, just after the turn- Stephen Semple: In the early days, they had a statement. Larry Page was very famous. Dave Young: Yeah, “Do no evil.” Stephen Semple: “Do know evil. Do no evil,” and that was a very, very big part. In fact, in the early stages, they made a bunch of decisions that challenged the company financially because they were like, “This is not good experience for the person on the other end.” I wonder if anybody’s guessed yet what we’re going to be talking about. Dave Young: Well, then you go public, and it’s all about shareholders, right? It’s like the shareholders are like, “Well, we don’t care if you do evil or not. We want you to make money.” That’s what it’s about because you have [inaudible 00:03:01]. Stephen Semple: All those things happen. Dave Young: Yeah. Stephen Semple: This company that we’re talking about, we’ll go a little while before we’ll let the name out, was founded… On September 4th in 1998 was when it was actually founded. Dave Young: Oh, ’98. It goes back before the turn of the century [inaudible 00:03:14]. Stephen Semple: Yeah. It was founded by Larry Page and Sergey Brin, who met at Stanford. Interesting note, the Stanford grads also created Yahoo. Dave Young: Okay, yeah. Stephen Semple: That’s giving you another little clue about the company that we might be talking about. Dave Young: In the same geek club. Stephen Semple: Yeah, so 1998. I was thinking back, one year after I graduated from university, Windows 98 is launched and, believe it or not, the last Seinfeld episode aired. Dave Young: Are you kidding me? Stephen Semple: No, isn’t that crazy? Dave Young: ’98. Stephen Semple: Yeah. Dave Young: I mean, I was busy raising four daughters in ’98. Stephen Semple: Yeah. Today, this company, as you said, because you didn’t want me to name the company, has more net income than any other business in US history. It has, now, I got to let the cat out of the bag, eight and a half billion searches a day happen. And yes, we’re talking about the birth of Google, which is also now known as part of the Alphabet group. Dave Young: Alphabet, yeah. It’s funny how they got to get a name that means everything. Did they have a name before Google? I know Google was like… Oh, it’s a number really, right? It’s a gazillion, bazillion Googleplex. Stephen Semple: As we’ll go into a little bit later, they actually spelled it wrong when they registered the site. That’s not actually the way that the word is spelled. I’ll have to go… But yeah, the first iteration was a product called BackRub was the name of it. Dave Young: Backrub, okay. Stephen Semple: Alphabet also owns the second largest search engine, which is YouTube. Together, basically, it’s a $2 trillion business, which is larger than the economy of Canada. It’s this amazing thing. Going back to 1998, there are dozens of search engines all using different business models. Now, today Alphabet’s like 90% in the market. Up until this point, it’s been unassailable, and it’s going to be really interesting to see what the future of AI and whatnot brings to that business. But we’re not talking about the future, we’re talking about the past here, so back to the start. Larry Page was born in Lansing, Michigan. His dad is a professor of computer science. His mom is also a computer academic. This is in the ’70s. Between 1979 and ’80, his dad does a stint at Stanford and then also goes to work at Microsoft. Now, Larry and Sergey meet at Stanford, and they’re very ambitious, they’re equal co-founders, but Larry had this thing he also talked about where he said, “You need to do more than just invent things.” It wasn’t about inventing things, it was about creating things that people would use. Here’s what’s going on in the world of the web at this time to understand what’s going on. Here’s some web stats. In 1993, there’s 130 websites in the world. In 1996, three years later, there’s 600,000 websites. That’s a 723% growth year over year. The world has never seen growth like that before. Dave Young: Right, yeah. It was amazing to experience it. People that are younger than us don’t realize what it was. Josh Johnson, the comedian, has a great routine on trying to explain to people what it was like before Google. You needed to know something- Stephen Semple: What it was like for the internet. Dave Young: Yeah. You had to ask somebody who knew. If you needed the answer to a question, you had to ask somebody. And if they didn’t know, then you had to find somebody else, or you had to go to the library and ask a librarian and they would help you find the answer- Stephen Semple: Well, I don’t think it’s like a- Dave Young: … maybe by giving you a book that may or may not have the answer. Stephen Semple: Here’s an important point. I want you to put a pin in that research. We’re going to come back to it. I was about to go down a rabbit hole, but let’s come back to this in just a moment, because this is a very, very important point here about the birth of Google. Larry and Sergey first worked on systems to allow people to make annotations and notes directly on websites with no human involved, but the problem is that that could just overrun a site because there was no systems for ranking or order or anything along that lines. The other question they started to ask is, “Which annotations should someone look at? What are the ones that have authority?” This then created the idea of page rankings. All of this became messy, and this led to them to asking the question, “What if we just focused on ranking webpages?” which led to ranking search. Now, whole idea was ranking was based upon authority and credibility, and they drew this idea from academia. So when we would do research, David, and you’d find that one book, what did you do to figure out who the authority was on the topic? You went and you saw what book did that cite, what research did this book cite. The further you went back in those citations, the closer you got to the true authority, right? Do you remember doing that type of research? Dave Young: Yeah, sure. Stephen Semple: Right. They looked at that and they went, “Well, that’s how you establish credibility and authority is who’s citing who.” Okay. They decided that what they were going to do was do that for the web, and the way the web did that was links, especially in the early days where a lot of it was research. Dave Young: Yeah. If a whole bunch of people linked to you, then that gives you authority over the words that they used to link on and- Stephen Semple: Well, and also in the early days, those links carried a lot of metadata around what the author thought, like, “Why was the link there?” In the early days, backlinks were incredibly important. Now, SEO weasels are still today talking about backlinks, which is complete. Dude, backlinks, yeah, they kind of matter, but they’re… Anyway, I could go down a rabbit hole. Dave Young: Yeah. It’s like anything, the grifters figure out a way to hack the system and make something that’s not authoritative seem like it is. Stephen Semple: Yeah. It’s harder that you can’t hack the system today. Anyway, but the technology challenge, how do you figure out who’s backedlinked to who? Well, the only way you can do it is you have to crawl the entire web, copy the entire web, and reverse engineer the computation to do this. Dave Young: Yeah. It’s huge. We’ve been talking about Google’s algorithm for as long as Google’s been around. That’s the magic of it, right? Stephen Semple: Yeah. In the early days, with them doing it as a research project, they could do it because there was hundreds of sites. If this happened even two years later, like 1996, it would’ve been completely impossible because the sheer size to do it as a research project, right? Now, they called this system BackRub, and they started to shop this technology to other search engines because, again, remember there was HotBot and Lyco and Archie and AltaVista and Yahoo and Excite and Infoseek. There were a ton of these search engines. Dave Young: Don’t forget Ask Jeeves. Stephen Semple: Ask Jeeves? Actually, Ask Jeeves might’ve even been a little bit later, but yeah, Ask Jeeves was one of them once when it was around. Dave Young: There was one that was Dogpile that was… It would search a bunch of search engines. Stephen Semple: Right, yeah. There was all sorts of things. Dave Young: Yeah. Stephen Semple: There was another one called Excite, and they got close to doing a deal with Excite. They got a meeting with them, and they’re looking at a license deal, million dollars for BackRub, and they would go into the summer and they would implement it because they were still students at Stanford. They got so far as running for the executives there a side-by-side test. They demo this test and the results were so good with BackRub. Here’s what execs at Excite said, “Why on earth would we want to use your engine? We want people to stay on our site,” because, again, it would push people off the site because web portals had this mentality of keeping people on the site instead of having them leave. So it was a no deal. They go back to school and no one wants BackRub, so they decide to build it for themselves at Stanford. The original name was going to be Whatbox. Dave Young: Whatbox? I’m glad they didn’t use Whatbox. Stephen Semple: Yeah. They thought it sounded too close to a porn site or something like that. Dave Young: Okay, I’ll give them that. Stephen Semple: Larry’s dorm mate suggested Google, which is the mathematical term of 10 to the 100th power, but it’s spelled G-O-O-G-O-L. Dave Young: Googol, mm-hmm. Stephen Semple: Correct. Now, there’s lots of things here. Did Larry Page misregister? Did he decide purposely? There’s all sorts of different stories there, but the one that seems to be the most popular, at least liked the most, is that he misspelled it when he did the registration to G-O-G-G-L-E. Dave Young: I think that’s probably a good thing because when you hear it said, that’s kind of the first thing you go- Stephen Semple: That’s kind of how you spell it. Dave Young: … how you spell it. I think we’d have figured it out, but- Stephen Semple: We would’ve, but things that are easier are always better, right? Dave Young: Yeah. Stephen Semple: By spring of ’98, they’re doing 10,000 searches a day all out of Stanford University. Dave Young: Wait, 10,000 a day out of one place. Stephen Semple: Are using university resources. Everyone else is just using keywords on a page, which led to keyword stuffing, again, another one of these BS SEO keyword stuffing. Now, at one point, one half of the entire computing power at Stanford University is being used for Google searches. It’s the end of the ’98 academic year, and these guys are still students there. Now, sidebar, to this day, Stanford still owns a chunk of Google. Dave Young: Okay. Stephen Semple: Worked out well for Stanford. Dave Young: Yeah, I guess. Stephen Semple: Yeah. Now, Larry and Sergey need some seed round financing because they’ve got to get it off of Stanford. They’ve got to start building computers. They raise a million dollars. Here’s the interesting thing I had no idea. Guess who one of the first round investors are who ended up owning 25% of the company in the seed round? Dave Young: Stay tuned. We’re going to wrap up this story and tell you how to apply this lesson to your business right after this. [Using Stories To Sell Ad] Dave Young: Let’s pick up our story where we left off and trust me you haven’t missed a thing. Stephen Semple: Guess who one of the first round investors are who ended up owning 25% of the company in the seed round? Jeff Bezos. Dave Young: Oh, no kidding. Stephen Semple: Yeah, yeah. Jeff Bezos was one of the first four investors in Google. Dave Young: Okay. Well, here we are. Stephen Semple: Isn’t that incredible? Dave Young: Yeah. Stephen Semple: Now, AltaVista created a very interesting technology because AltaVista grew out of DEC computers who were building super computers at the time. They were basically one of the pre-leaders in search because what they would do is everybody else crawled the internet in series. They were crawling the internet in parallel, and this was a big technological breakthrough. In other words, they didn’t have to do it one at a time. They could send out a whole ton of crawlers, crawling all sorts of different things, all sorts of different pieces, bringing it back and could reassemble it. Dave Young: Got you. Stephen Semple: AltaVista also had therefore the most number of sites indexed. I remember back in the day, launching websites, like pre-2000, and yeah, you would launch a site and you would have to wait for it to be indexed and it could take weeks- Dave Young: You submit it. Yeah, there were things you could do to submit- Stephen Semple: There was things you could submit. Dave Young: … the search engines. Stephen Semple: Yes, yeah, and you would sit and you would wait and you’d be like, “Oh, it got crawled.” Yeah, it was crazy. We don’t think about that today. [inaudible 00:15:57] websites crawl. Dave Young: You’d make updates to your site and you’d need to resubmit it, so it would get crawled again- Stephen Semple: Oh, yeah. Yeah. Dave Young: … if there was new information. Stephen Semple: People would search your site and it would be different than the site that you would have because the updates hadn’t come through and all those other things. In 1998, Yahoo was the largest player. They were a $20 billion business, and they had a hand-curated guide to the internet, which worked at the time, but the explosive growth killed that. There was a point where Yahoo just couldn’t keep up with it. Then Yahoo went to this hybrid where the top part was hand-curated and then backfilled with search engine results. Now, originally, Google was very against the whole idea of banner ads, and this was the way everyone else was making money, because what they knew is people didn’t like banner ads, but you’re tracking eyeballs, you’re growing, you need more infrastructure, because basically their way of doing is they’re copying the entire internet and putting it on their servers and you need more money. Now, one of the other technological breakthroughs is Google figured out how to do this on a whole pile of cheap computers that they just stacked on top of each other, but you still needed money. At this moment, had no model for making money. They were getting all these eyeballs, they were faster because they built data centers around the world because they also figured out that, by decentralizing it, it was faster. They had lots of constraints. What they needed to do at this point was create a business model. What does one do when one needs to create a business model? Well, it’s early 1999, they’re running out of money. They hire Salar Kamangar, who’s a Stanford student, and they give him the job of writing a business plan. “Here, intern, you’re writing the business plan for how we’re going to make money. Go put together a pitch deck.” Dave Young: I wonder if they’re still using the plan. Stephen Semple: What they found at that point was there was basically three ways to make the money. Way number 1 was sell Google Search technology to enterprises. In other words, companies can use this to search their own documents and intranets. Dave Young: I remember that, yeah. Stephen Semple: Yeah. Number 2, sell ads, banner ads, and number 3, license search results to other search engines. Dave Young: Okay. Stephen Semple: Based upon this plan, spring of ’99, they do a Series A fundraise. They raised more money, and they also meet Omid [inaudible 00:18:22] who’s from Netscape, and he’s kind of done with Netscape because Netscape had been just bought by AOL, and they recruit him as a chief revenue officer. Omid tries to sell the enterprise model, kind of fails, so things are not looking good on the revenue front. It’s year 2000, and the technology bubble is starting to burst. The customer base is still growing because people love it, love Google, but they’re running out of money again. They decide to do banner ads, because they just have got no money. Here’s the interesting thing is, in this day, 2000, I want you to think about this, you have to set up a sales force to go out and sell banner ads to agencies, people picking up the phone and walking into offices, reaching out to ad agencies. Dave Young: Yeah, didn’t have a platform for buying and selling… And banner ads, gosh, they were never… Google ads, in the most recent memory, are always context-related, right? Stephen Semple: Yes. Dave Young: But if you’re just selling banner ads to an agency, you might be looking for dog food and you’re going to see car ads and you’re going to see ads for high-tech servers and all kinds of things that don’t have anything to do with what you’re looking for. Stephen Semple: That’s how the early banner ads work. Hold that thought. You’re always one step ahead of me, Dave. Dave Young: Oh, sorry. Stephen Semple: Hold that thought. No, this is awesome. Dave Young: I’m holding it. Stephen Semple: What I want to stress is, when we talk about how the world has changed, in 2000, Google decides to do banner ads and how they have to do it is a sales force going out, reaching out to agencies, and agencies faxed in the banner ads. Dave Young: Okay. Yeah, sure. It would take too long for them- Stephen Semple: I’m not making this up. This is how much the world has changed in 25 years. Dave Young: “Fax me the banner.” Stephen Semple: Salespeople going out to sell ads to agencies for banners on Google where the insertions were sent back by fax. Dave Young: For the people under 20 listening to us, a fax machine- Stephen Semple: Who don’t even know what the hell a fax machine is, yeah. Dave Young: A fax machine, yeah, well, we won’t go there. Stephen Semple: Yeah. Now, here’s what they do. They also say to the advertisers at this point, “Google will only accept text for banner ads for speed.” Again, they start with the model of CPM, cost per a thousand views, which is basically how all the agencies were doing it, but they did do a twist on it. They sold around this idea of intent that the ads were showing keyword-based and they were the first to do that. What they did is they did a test to prove this. This was really cool. They set themselves up as an Amazon affiliate and dynamically generated a link on a book search and served up an ad, an affiliate ad, and they’re able to show they were able to sell a whole pile of books. The test proved the idea worked. And then what they did is they went out and they white-labeled this for others. For example, Yahoo did it, and it would show on the bottom of Yahoo, “Powered by Google.” But here’s the thing, as soon as you start saying, “Powered by Google,” what are you doing? You’re creating share of voice. Share of voice, right? Dave Young: Well, yeah, why don’t I just go to Google? Stephen Semple: Why don’t I just go to Google? Look, we had saw this a few years earlier when Hotmail was launched by Microsoft where you would get this email and go, “Powered by Hotmail,” and you’d be like, “What’s this Hotmail thing?” Suddenly, everybody was getting Hotmail accounts, right? Dave Young: Yeah. Stephen Semple: No one has a Hotmail account, no longer they have Gmail accounts, they hardly have Gmail accounts anymore. Dave Young: No, I could tell you that we’ve got a lot of people at Wizard Academy that email us off with a Hotmail. Stephen Semple: Still have Hotmail accounts? Dave Young: Sure. Stephen Semple: Oh, wow. So it’s still around? Okay. Dave Young: And then some Yahoos, yeah. Stephen Semple: Wow, that’s amazing. That’s amazing. Well, still- Dave Young: Yahoo, the email, not the customer. They’re not a Yahoo, but they have an account there. Stephen Semple: In October 2000, they launch AdWords with a test of 350 advertisers. And then, in 2002, they launched pay-per-click Advertising. And then 2004, they go public. Now, here’s one of the other things I want to talk about in terms of share of voice. They had a couple things going on with share of voice. They had that, “powered by Google,” which created share of voice because… We often think of share of voice as being just advertising in terms of how much are people knowing about us. I remember knowing nothing about Google and then learning about Google when Google went public because Google dragged out going public. They talked about it for a long time, but it meant it was financial press, it was front page news. It got a lot of PR and a lot of press around the time that they went public. That going public for them also created massive share of voice because there was suddenly a whole community that were not technologically savvy that we’re now suddenly aware of, “Oh, there’s this Google thing.” Dave Young: And they’re in the news, yeah. So I’ve got an idea for us, Steve. Stephen Semple: Yep, okay. Dave Young: All right. Stephen Semple: Let’s hear it. Dave Young: Let’s pick up part 2 of Google at the point they go public. Stephen Semple: All right, let’s do that. That’ll be an episode we’ll do in the future, yeah. Dave Young: We don’t do very many two-parters, but we’re already kind of a lengthy Empire Builder Podcast here. Stephen Semple: Oh, yeah. I was just taking it to this point, but I think that would be very interesting- Dave Young: Oh, okay. Stephen Semple: … because look, Google is a massive force in the world today- Dave Young: Unbelievable, yeah. Stephen Semple: … and I think it would be interesting to do the next part because there’s all sorts of things that they did to continue this path of attracting eyeballs. Dave Young: We haven’t even touched on Gmail yet. No, we have not. We have not. Stephen Semple: Because that happened after they went public. Correct. Let’s do that. Dave Young: Okay. Stephen Semple: Here’s the lesson that I think that I want people to understand is share of voice comes from other things, but we’re going to explore that even more in this part 2. I like the idea of doing this part 2. They really looked at this problem from a completely different set of eyeballs, and this is where I commend Google, from the standpoint of there’s all this stuff in the internet and what we really want to know is who is the authority. They looked at the academic world for how does it establish authority, and how authority is established is how much is your work cited by others, how much are other… So, now, Google has of course expanded that to direct search and there’s all these other things, but they’ve always looked at it from the standpoint of, “Who in this space has the most authority? Who is really and truly the expert on this topic? We’re going to try to figure that out and serve that up.” Dave Young: Yeah. Stephen Semple: That’s core to what their objective has been. Dave Young: We could talk about Google for four or five episodes probably. Stephen Semple: We may, but we know we’re going to do one more. Dave Young: All right. Stephen Semple: Awesome. Dave Young: Well, thanks for bringing it up. We did mention their name. Actually, if we just put this out there, “Hey, Google, why don’t you send us all the talking points we need for part 2?” There, I put it out there. Let me know how that works. Stephen Semple: My email’s about to get just slammed. All right. Thanks, David. Dave Young: You won’t know it’s from them though. You won’t know. You won’t know. Isn’t that good? Stephen Semple: That’s true. That’s true. Dave Young: Thank you, Stephen. Stephen Semple: All right. Thanks, David. Dave Young: Thanks for listening to the podcast. Please share us, subscribe on your favorite podcast app, and leave us a big, fat, juicy five-star rating and review at Apple Podcasts. And if you’d like to schedule your own 90-minute Empire Building session, you can do it at empirebuildingprogram.com.

AI tools are already answering your customers' questions. The real question is, how do you ensure your business is part of those answers?In this episode, we sit down with Sergey Lucktinov, an AI search visibility expert who has spent more than a decade navigating algorithm shifts and rethinking how businesses get discovered online. Sergey breaks down how visibility works in the age of AI and what business owners need to do to make sure their brand is actually being mentioned, not silently skipped. We explore how AI has fundamentally changed SEO. The focus is no longer on keywords and backlinks alone, but on meaning, trust, and whether your content is eligible to be retrieved by AI systems in the first place. Sergey shares how years of surviving major search changes led him to develop Semantic Retrieval Optimization (SRO), a framework built specifically for how AI systems retrieve, evaluate, and surface content today. He explains how to format content so large language models (LLMs) can easily understand and reuse it, and why AI has quietly leveled the playing field, giving smaller companies new opportunities to compete with much larger brands in search. We also break down Semantic Entity Networks (SENs) and how they fit into modern on-page optimization, as well as the biggest mistakes and misconceptions businesses have about LLM optimization.If you want to understand how to increase your visibility in AI search, this episode is a must-listen. Topics Discussed in this episode: How Sergey developed his Semantic Retrieval Optimization (SRO) strategy (02:35)  How AI has transformed SEO and how this affects visibility (06:18) Understanding how to format your content to suit LLMs (08:29) AI has leveled the playing field for smaller companies in search (13:57) Explaining SENs and how they fit into on-page optimization (17:09) The biggest mistakes and misconceptions about LLM optimization (22:11) Cost optimizations you can use to increase your retrieval rate (24:38) Calculating leads and audience size that come from LLMs (30:38) The future of SEO and AI (32:26) Mentions:  Empire Flippers Podcasts Empire Flippers Marketplace Create an Empire Flippers account Subscribe to our newsletter Semantic Vector Sergey's personal site  Sergey's book about semantic SEO, SRO & AI Sit back, grab a coffee, and learn how to dominate AI search visibility!

AI tools are already answering your customers' questions. The real question is, how do you ensure your business is part of those answers?In this episode, we sit down with Sergey Lucktinov, an AI search visibility expert who has spent more than a decade navigating algorithm shifts and rethinking how businesses get discovered online. Sergey breaks down how visibility works in the age of AI and what business owners need to do to make sure their brand is actually being mentioned, not silently skipped. We explore how AI has fundamentally changed SEO. The focus is no longer on keywords and backlinks alone, but on meaning, trust, and whether your content is eligible to be retrieved by AI systems in the first place. Sergey shares how years of surviving major search changes led him to develop Semantic Retrieval Optimization (SRO), a framework built specifically for how AI systems retrieve, evaluate, and surface content today. He explains how to format content so large language models (LLMs) can easily understand and reuse it, and why AI has quietly leveled the playing field, giving smaller companies new opportunities to compete with much larger brands in search. We also break down Semantic Entity Networks (SENs) and how they fit into modern on-page optimization, as well as the biggest mistakes and misconceptions businesses have about LLM optimization.If you want to understand how to increase your visibility in AI search, this episode is a must-listen. Topics Discussed in this episode: How Sergey developed his Semantic Retrieval Optimization (SRO) strategy (02:35)  How AI has transformed SEO and how this affects visibility (06:18) Understanding how to format your content to suit LLMs (08:29) AI has leveled the playing field for smaller companies in search (13:57) Explaining SENs and how they fit into on-page optimization (17:09) The biggest mistakes and misconceptions about LLM optimization (22:11) Cost optimizations you can use to increase your retrieval rate (24:38) Calculating leads and audience size that come from LLMs (30:38) The future of SEO and AI (32:26) Mentions:  Empire Flippers Podcasts Empire Flippers Marketplace Create an Empire Flippers account Subscribe to our newsletter Semantic Vector Sergey's personal site  Sergey's book about semantic SEO, SRO & AI Sit back, grab a coffee, and learn how to dominate AI search visibility!  

Z.CITY MUSIC и Z.RESIDENTS SHOWCASE представляют: Еженедельная яркая концептуальная селекция, наполненная ритмами пляжного города, в которой анонсируем всю актуальную информацию к настоящему моменту. Z.CITY SHOW - Возьми свой доступ в лето! 01.Moojo – Mockingbird 02.LUCH, Landon Ryle - Barely Open 03.Lil Yachty - I've Officially Lost Vision (Tim Engelhardt Edit) 04.Eran Hersh - I'm Shocked 05.Samer Soltan - What The F 06.Lily Haz - Secret Birds (Curses Remix) 07.Mark Tarmonea - Darkness Falls 08.Tim Paris, Foremost Poets - That Boy 09.Peve - Kassamba (Zakir Remix) 10.GENESI – Hyper 11.Think Aloud - Spiral

Басы,синты и лупы, уносящие в зимнюю ночь магического финала. Звуковое мерцание гирлянд,тёплое воспоминание о лучших моментах уходящего года и надежда на чудо в новом. 1.Mea-Blipin 2.Mahogany Dreams-Aleyum 3.Tears-SolR 4.Night Shade-Bone 5.Fall In Deep-Iklektix 6.Delusion-Invicted 7.The Place-Jack Boston/Vanity Jay 8.Those Who Fight Further-Luciano (DnB)/Alpha Rhythm 9.Youniverse-Modest Intentions 10.Sherry-Nic ZigZag/Onside 11.Last Quest-Psychical Research/MALK 12.Tell Me Why-Seathasky/Silence Groove

Z.CITY MUSIC и Z.RESIDENTS SHOWCASE представляют: Еженедельная яркая концептуальная селекция, наполненная ритмами пляжного города, в которой анонсируем всю актуальную информацию к настоящему моменту. Z.CITY SHOW - Возьми свой доступ в лето! Телеграм-канал: t.me/sergeybaribyn 01. ADDAM (BE), ODARA (BE) - Something Special 02. &ME, Rampa, Adam Port, Sevdaliza - See You Again 03. Arseniy Gor - Time Send (Z.CITY Music) 04. Come Closer - Paris To Tokyo 05. Deflee - Todo Fluyo (Panic Chase Remix) 06. Antonio de Light - Kama Mantra 07. Sam Shure - Pressure (Denis Horvat Remix) 08. Aiwaska, Cadillac Express - Aiwaska, Cadillac Express – Plant 09. Natasha Wax, Sony Vibe, Gannibal - Red Flags (Meekky Remix) 10. Notre Dame - Not Your Business 11. Сироткин - Лучший город на земле (Izhevski, Talemates Remix)

Каждую субботу в 22.00 (Мск) радио-шоу о клубной электронике WeekenDance на МЕГА РАДИО. Первый час наполнен новинками из рекорд-бокса Сергея Барыбина, второй час гостевые селекции от актуальных диск-жокеев России. Телеграм-канал: t.me/sergeybaribyn Mix-1 01.Did Virgo feat. Johanna - Where Is She 02.Lost.Act - Poema De La Noche (Calabasa Remix) 03.Soma Soul, Mondo Man - All I Want 04.Come Closer - Vlazhnyy Ogon 05.Thomass Jackson – Park Your Spaceship 06.Maesic, TABU (PL) - RIPSAW 07.Cristian Viviano - RESSOURCES 08.Lily Haz - Secret Birds (Curses Remix) 09.SKIY - Celestial Gate (Elif Remix) 10.NODA (CA) - Don't Believe 11.Cosmonaut – Electrosonic Mix-2 01.Ulises – Keep 02.Under Sanctions - Got A Lot 03.Under Sanctions - Party On Tattooine 04.XANDL – Zeppelin 05.DEFLEE - Muse Mi 06.Space Food - Adios Amigo 07.Panjabi MC - Mundian To Bach Ke (Kolya Funk Remix) 08.Alexey Sonar - Bon Voyage 09.Max Styler - Let Em' Know 10.Dub Pepper, Pashura - Take It Up 11.toy5bro - To To 12.The Lost Boys & Yo-Gurt - Psychedelic Safari (I Ptomised Mom Remix) 13.Den Maar, The Kode – Phantom 14.Anza, Ninelya - Vidro Quebrado

This week, Kate Molleson explores the life and music of Sergey Prokofiev – a composer whose imagination shaped some of the most vivid music of the 20th century. From childhood stories in rural Ukraine to bold experiments at the St Petersburg Conservatory, from revolutionary Russia to the bright lights of New York, and finally to his dramatic homecoming, Prokofiev's journey is full of ambition, upheaval and colour. We hear music that tells tales – fairytales, fantasies and fragments of real life – revealing a composer who never stopped dreaming.Troika (from Lieutenant Kijé Suite, Op. 60) Cinderella Suite, Op. 87 The Winter Bonfire, Op. 122: IV–VIII Music for Children, Op. 65: Nos. 1–9 Peter and the Wolf, Op. 67 Four Études, Op. 2 Autumnal Sketch Piano Concerto No. 1 in D flat major, Op. 10 The Ugly Duckling, Op. 18 Cinderella Suite No. 1, Op. 107: IV. Fairy Godmother and Winter Fairy Symphony No. 1 in D major, Op. 25 'Classical' Seven, They Are Seven, Op. 30 Scythian Suite, Op. 20: I–II Old Grandmother's Tales, Op. 31: Nos. 1–4 Overture on Hebrew Themes The Love of Three Oranges: Suite Five Songs Without Words Violin Concerto No. 2 in G minor, Op. 63: II. Andante assai Le Pas d'acier Suite, Op 41a: I, II The Prodigal Son, Op. 46, Scene 1: IV–VIII Romeo and Juliet: Dance of the KnightsPresented by Kate Molleson Produced by Ellie Ajao for BBC Audio Wales & WestFor full track listings, including artist and recording details, and to listen to the pieces featured in full (for 30 days after broadcast) head to the series page for Sergey Prokofiev (1891-1953) https://www.bbc.co.uk/programmes/m002n9nvAnd you can delve into the A-Z of all the composers we've featured on Composer of the Week here: http://www.bbc.co.uk/programmes/articles/3cjHdZlXwL7W41XGB77X3S0/composers-a-to-z

This week we're investigating Sergey, who is definitely a fire sign, but is he the Aries or the Leo? To play along at home: Check out the casefiles for this episode and every episode at our website: ⁠http://www.astrodetectivespod.com⁠ UNREDACTED CASE FILES are sent to Rookie Detective Level Patreon Subscribers with access to the full charts with all the juicy birth data so you can plug and play at home using your favorite star system! All of that sent directly to your inbox when you join at our Rookie Detective Level.

Z.CITY MUSIC и Z.RESIDENTS SHOWCASE представляют: Еженедельная яркая концептуальная селекция, наполненная ритмами пляжного города, в которой анонсируем всю актуальную информацию к настоящему моменту. Z.CITY SHOW - Возьми свой доступ в лето! Телеграм-канал: t.me/sergeybaribyn 01.Sinego, Laguna - El Mar (parece roto) 02.Malive – Sinergia 03.Joeski, Unna X – Frequencia 04.Will Clarke, Blythe - Pray (Christian Nielsen Remix) 05.Re Power - Jasmine (NP Project (RU) & Sergey Baribyn Remix) 06.Deflee - Todo Fluyo 07.Aiwaska - Jack Haus 08.S.K.A.M. - Tibet (Raxon Remix) 09.Pysh & David LeSal - Find The Rhythm 10.CamelPhat & Elderbrook - Cola (ARTBAT Remix) 11.Dino Lenny - God Technology

Каждую субботу в 22.00 (Мск) радио-шоу о клубной электронике WeekenDance на МЕГА РАДИО. Первый час наполнен новинками из рекорд-бокса Сергея Барыбина, второй час гостевые селекции от актуальных диск-жокеев России. Телеграм-канал: t.me/sergeybaribyn Mix-1 01.MAMARODINA – Хоровод (Come Closer Remix) 02.ADDAM (BE), ODARA (BE) - Something Special 03.Jerome Sydor, Alessa Khin - Suki Suki 04.Jonas Blue, Malive - Edge of Desire 05.Matt Smallwood - Rich Man 06.Kemp & Thompson - Stimulation (Roger Cashew Remix) 07.Roddy Lima - 2015 08.Rez Dorsia - Chicago 09.Cherry Paradise - Metamorphosis (Z.CITY Music) 10.No Hopes - Eins Zwei Polizei 11.Lenny Kravitz - Let It Ride (Notre Dame Remix) 12.Joe Smooth - Promised Land (Solomun Remix) Mix-2 01.Above & Beyond - Shall We Begin 02.Marco Vittori – Viajero 03.Krasa Rosa – Zigzag 04.Krasa Rosa – Leto 05.Ranta, Synthetra - Do Utra (Limetra Remix) 06.Krasa Rosa – Lukoshko 07.Amalomu - Oy Daa 08.Dulus - The Soul Surfer 09.DJ Renat - Deep Blue 10.Dulus - The Place 11.Krasa Rosa – Rusalki 12.Cafe De Anatolia, ArtSky – Your 13.Alex Shmakov - Losing Game 14.Sam Borski - Skazka

CONTENT WARNUNG SIEHE UNTEN Geschunden, gefoltert und dem Tod nahe fand Sergey die Gruppe in der Folterkammer des Baron Hauptmanns vor. Nachdem sie sich in der örtlichen Kirche von diesen Strapazen erholt hatten, machten sie sich erneut auf, um die Burg zu durchsuchen. Sie wussten, dass hinter jeder Ecke etwas Schrecklicheres als der Tod lauern konnte. CONTENT WARNUNG: Wir möchten euch darauf hinweisen, dass die in diesem Podcast dargestellten Ereignisse, Charaktere und Szenarien rein fiktiv sind und ausschließlich der Unterhaltung dienen. Unsere Spielrunde ist geprägt von Offenheit und Inklusivität. Wir sind bestrebt, eine einladende und respektvolle Atmosphäre für alle Zuhörerinnen und Zuhörer zu schaffen. Sollten im Verlauf des Spiels Äußerungen oder Darstellungen vorkommen, die heutzutage als problematisch eingestuft werden könnten, so dienen diese ausschließlich der authentischen Darstellung der historischen Epoche und sind nicht Ausdruck unserer persönlichen Ansichten oder Werte. Wir nehmen unsere Verantwortung als Schöpfer von Inhalten ernst und sind uns der Sensibilität solcher Themen bewusst. Daher möchten wir betonen, dass jegliche potenziell problematischen Inhalte kritisch betrachtet und im Kontext der Spielwelt und ihrer Zeit behandelt werden. Unser Ziel ist es, ein spannendes und zugleich respektvolles Spielerlebnis zu bieten. Vielen Dank für euer Verständnis und viel Spaß beim Zuhören!   Genutztes Regelwerk: Cthulhu 7te Edition Podcast | Rollenspielpodcast (neomancerrpg.wixsite.com) https://www.patreon.com/1W3Rollenspieler Music by: Tabletop Audio - Ambiences and Music for Tabletop Role Playing Games

This week, Andreas Munk Holm talks with Sergey Jakimov, Co-founder and Managing Partner at LongeVC, a leading longevity-focused venture fund backing breakthroughs in biotech, AI-driven drug discovery, and the science of healthy aging.From pre-seed biotech spin-outs to multi-hundred-million-dollar exits with Big Pharma, LongeVC is building the category-defining fund at the frontier of life extension. In this episode, Sergey walks us through the team's 3x+ MOIC track record, how LongeVC's scientific advisory board unlocks proprietary deal flow, and why longevity and healthspan investing could be venture's next trillion-dollar frontier.

Фрагмент DJ-сета Сергея Барыбина в рамках вечеринки Музыкальная Сессия от промо-группы ARTKULTURA, которая состоялась 29 ноября в стенах бывшего ночного клуба BUDDHA ROOM в Севастополе.

Z.CITY MUSIC и Z.RESIDENTS SHOWCASE представляют: Еженедельная яркая концептуальная селекция, наполненная ритмами пляжного города, в которой анонсируем всю актуальную информацию к настоящему моменту. Z.CITY SHOW - Возьми свой доступ в лето! Телеграм-канал: t.me/sergeybaribyn 01.Ajna (BE), Marlin (BE) – Bottom 02.Jonas Blue, Malive - Edge of Desire 03.Emanuel Satie & Maga & Sean Doron & Tim Engelhardt – Hotline 04.ELEVEN (FR) - Keep Faith 05.Beeser & Klavs – Berries 06.Simone Vitullo, Liori - White Horse 07.Miko Franconi, Broken Hill - Back Trackin' 08.S-Jay Soprano - Ticket to Happiness (Z.CITY Music) 09. Tim Hanmann - Dark Lover 10.Ruback, Amesens - SMACK MY BITCH UP 11.Marc Romboy - Iceland

I interviewed Sergey Prokofyev about Eternal Habitat on Monday, November 17, 2025 at IDFA DocLab in Amsterdam, Netherlands. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

In this episode of the Niche Pursuits podcast, Sergey Lucktinov dives deep into the future of SEO and how to optimize your content for large language models like ChatGPT. He explains why traditional link-building is no longer enough, how semantic structure impacts AI rankings, and what "semantic retrieval optimization" actually means.    With insights drawn from 15+ years in SEO and a framework backed by 90% AI-aligned principles, this interview is packed with technical details and actionable strategy. If you want your content to rank in both Google and AI search, this episode is a must-listen!     Sponsor: 201 Creative Get your FREE GEO Snapshot today! - https://201creative.com/geo-snapshot/?utm_source=niche_pursuits_podcast&utm_medium=audio&utm_campaign=geo_snapshot_launch&utm_content=show_notes Links & ResourcesLearn more about Sergey Lucktinov - https://www.sergeylucktinov.com/ What is Semantic Vector? - https://www.semanticvector.com/ Check out Sergey's book: Semantic SEO, SRO & AI - https://www.amazon.com/dp/B0FGLFK9XM/   Ready to join a niche publishing mastermind, and hear from industry experts each week? Join the Niche Pursuits Community here: https://community.nichepursuits.com Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links?  Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper Get SEO Consulting from the Niche Pursuits Podcast Host, Jared Bauman: https://www.nichepursuits.com/201creative

AI Assisted Coding: Treating AI Like a Junior Engineer - Onboarding Practices for AI Collaboration In this special episode, Sergey Sergyenko, CEO of Cybergizer, shares his practical framework for AI-assisted development built on transactional models, Git workflows, and architectural conventions. He explains why treating AI like a junior engineer, keeping commits atomic, and maintaining rollback strategies creates production-ready code rather than just prototypes. Vibecoding: An Automation Design Instrument "I would define Vibecoding as an automation design instrument. It's not a tool that can deliver end-to-end solution, but it's like a perfect set of helping hands for a person who knows what they need to do."   Sergey positions vibecoding clearly: it's not magic, it's an automation design tool. The person using it must know what they need to accomplish—AI provides the helping hands to execute that vision faster. This framing sets expectations appropriately: AI speeds up development significantly, but it's not a silver bullet that works without guidance. The more you practice vibecoding, the better you understand its boundaries. Sergey's definition places vibecoding in the evolution of development tools: from scaffolding to co-pilots to agentic coding to vibecoding. Each step increases automation, but the human architect remains essential for providing direction, context, and validation. Pair Programming with the Machine "If you treat AI as a junior engineer, it's very easy to adopt it. Ah, okay, maybe we just use the old traditions, how we onboard juniors to the team, and let AI follow this step."   One of Sergey's most practical insights is treating AI like a junior engineer joining your team. This mental model immediately clarifies roles and expectations. You wouldn't let a junior architect your system or write all your tests—so why let AI? Instead, apply existing onboarding practices: pair programming, code reviews, test-driven development, architectural guidance. This approach leverages Extreme Programming practices that have worked for decades. The junior engineer analogy helps teams understand that AI needs mentorship, clear requirements, and frequent validation. Just as you'd provide a junior with frameworks and conventions to follow, you constrain AI with established architectural patterns and framework conventions like Ruby on Rails. The Transactional Model: Atomic Commits and Rollback "When you're working with AI, the more atomic commits it delivers, more easy for you to kind of guide and navigate it through the process of development."   Sergey's transactional approach transforms how developers work with AI. Instead of iterating endlessly when something goes wrong, commit frequently with atomic changes, then rollback and restart if validation fails. Each commit should be small, independent, and complete—like a feature flag you can toggle. The commit message includes the prompt sequence used to generate the code and rollback instructions.  This approach makes the Git repository the context manager, not just the AI's memory. When you need to guide AI, you can reference specific commits and their context. This mirrors trunk-based development practices where teams commit directly to master with small, verified changes. The cost of rollback stays minimal because changes are atomic, making this strategy far more efficient than trying to fix broken implementations through iteration. Context Management: The Weak Point and the Solution "Managing context and keeping context is one of the weak points of today's coding agents, therefore we need to be very mindful in how we manage that context for the agent."   Context management challenges current AI coding tools—they forget, lose thread, or misinterpret requirements over long sessions. Sergey's solution is embedding context within the commit history itself. Each commit links back to the specific reasoning behind that code: why it was accepted, what iterations it took, and how to undo it if needed. This creates a persistent context trail that survives beyond individual AI sessions. When starting new features, developers can reference previous commits and their context to guide the AI. The transactional model doesn't just provide rollback capability—it creates institutional memory that makes AI progressively more effective as the codebase grows. TDD 2.0: Humans Write Tests, AI Writes Code "I would never allow AI to write the test. I would do it by myself. Still, it can write the code."   Sergey is adamant about roles: humans write tests, AI writes implementation code. This inverts traditional TDD slightly—instead of developers writing tests then code, they write tests and AI writes the code to pass them. Tests become executable requirements and prompts. This provides essential guardrails: AI can iterate on implementation until tests pass, but it can't redefine what "passing" means. The tests represent domain knowledge, business requirements, and validation criteria that only humans should control. Sergey envisions multi-agent systems where one agent writes code while another validates with tests, but critically, humans author the original test suite. This TDD 2.0 framework (a talk Sergey gave at the Global Agile Summit) creates a verification mechanism that prevents the biggest anti-pattern: coding without proper validation. The Two Cardinal Rules: Architecture and Verification "I would never allow AI to invent architecture. Writing AI agentic coding, Vibecoding, whatever coding—without proper verification and properly setting expectations of what you want to get as a result—that's the main mistake."   Sergey identifies two non-negotiables. First, never let AI invent architecture. Use framework conventions (Rails, etc.) to constrain AI's choices. Leverage existing code generators and scaffolding. Provide explicit architectural guidelines in planning steps. Store iteration-specific instructions where AI can reference them. The framework becomes the guardrails that prevent AI from making structural decisions it's not equipped to make. Second, always verify AI output. Even if you don't want to look at code, you must validate that it meets requirements. This might be through tests, manual review, or automated checks—but skipping verification is the fundamental mistake. These two rules—human-defined architecture and mandatory verification—separate successful AI-assisted development from technical debt generation. Prototype vs. Production: Two Different Workflows "When you pair as an architect or a really senior engineer who can implement it by himself, but just wants to save time, you do the pair programming with AI, and the AI kind of ships a draft, and rapid prototype."   Sergey distinguishes clearly between prototype and production development. For MVPs and rapid prototypes, a senior architect pairs with AI to create drafts quickly—this is where speed matters most. For production code, teams add more iterative testing and polishing after AI generates initial implementation. The key is being explicit about which mode you're in. The biggest anti-pattern is treating prototype code as production-ready without the necessary validation and hardening steps. When building production systems, Sergey applies the full transactional model: atomic commits, comprehensive tests, architectural constraints, and rollback strategies. For prototypes, speed takes priority, but the architectural knowledge still comes from humans, not AI. The Future: AI Literacy as Mandatory "Being a software engineer and trying to get a new job, it's gonna be a mandatory requirement for you to understand how to use AI for coding. So it's not enough to just be a good engineer."   Sergey sees AI-assisted coding literacy becoming as fundamental as Git proficiency. Future engineering jobs will require demonstrating effective AI collaboration, not just traditional coding skills. We're reaching good performance levels with AI models—now the challenge is learning to use them efficiently. This means frameworks and standardized patterns for AI-assisted development will emerge and consolidate. Approaches like AAID, SpecKit, and others represent early attempts to create these patterns. Sergey expects architectural patterns for AI-assisted development to standardize, similar to how design patterns emerged in object-oriented programming. The human remains the bottleneck—for domain knowledge, business requirements, and architectural guidance—but the implementation mechanics shift heavily toward AI collaboration. Resources for Practitioners "We are reaching a good performance level of AI models, and now we need to guide it to make it impactful. It's a great tool, now we need to understand how to make it impactful."   Sergey recommends Obie Fernandez's work on "Patterns of Application Development Using AI," particularly valuable for Ruby and Rails developers but applicable broadly. He references Andrey Karpathy's original vibecoding post and emphasizes Extreme Programming practices as foundational. The tools he uses—Cursor and Claude Code—support custom planning steps and context management. But more important than tools is the mindset: we have powerful AI capabilities now, and the focus must shift to efficient usage patterns. This means experimenting with workflows, documenting what works, and sharing patterns with the community. Sergey himself shares case studies on LinkedIn and travels extensively speaking about these approaches, contributing to the collective learning happening in real-time.   About Sergey Sergyenko   Sergey is the CEO of Cybergizer, a dynamic software development agency with offices in Vilnius, Lithuania. Specializing in MVPs with zero cash requirements, Cybergizer offers top-tier CTO services and startup teams. Their tech stack includes Ruby, Rails, Elixir, and ReactJS.   Sergey was also a featured speaker at the Global Agile Summit, and you can find his talk available in your membership area. If you are not a member don't worry, you can get the 1-month trial and watch the whole conference. You can cancel at any time.   You can link with Sergey Sergyenko on LinkedIn.

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Today, in a special bonus episode, we bring you a major panel from the Ukraine Freedom Summit in London, moderated by Dom and featuring a distinguished lineup: Lt General (Ret.) H.R. McMaster (U.S. National Security Adviser to President Trump, 2017–18), Boris Johnson (Former UK Prime Minister), Sergey Vysotsky (Deputy Chairman, Association of Strategic Communications, National Association of Ukrainian Defense Industries), and Michael Kofman (Senior Fellow, Russia & Eurasia Program, Carnegie Endowment for International Peace).Titled “The Strategic Architecture of Victory,” the discussion offers candid reflections on Western failures, why Europe struggled to unite in the face of a growing Russian threat, Putin's motivations, America's true strategic position, insider insights into Ukrainian weapons procurement, and the West's capacity to wage a long war.Please note: this panel was recorded several weeks ago, prior to the developments of recent days.Speakers:Lt General (Retired) H.R. McMaster (US National Security Adviser to President Trump from 2017 to 2018)Boris Johnson (Former Prime Minister of the UK)Sergey Vysotsky (Deputy Chairman of the Association of Strategic Communications, National Association of Ukrainian Defense Industries)Michael Koffman (Senior Fellow in the Russia and Eurasia Program at the Carnegie Endowment for International Peace)Learn More about the Ukraine Freedom Summit and the Borderlands Foundation:https://ukrainefreedomsummit.org/ukraine-summit-london-2025 Hosted on Acast. See acast.com/privacy for more information.

Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/el-mananero-radio--3086101/support.

In this episode of the Real Estate Pros podcast, host Q Edmonds speaks with Sergey Kesel, a structural engineer with over 30 years of experience in the construction industry. Sergey shares his insights on the current state of the construction industry in North Carolina, highlighting the challenges faced by builders, investors, and homeowners. He discusses the need for reforms in building regulations, the quality of materials used in construction, and the lack of hands-on experience among builders. Sergey emphasizes the importance of addressing these issues to ensure safe and affordable housing for all.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Sergey Nazarov, Co-Founder of Chainlink, and I sat down at SmartCon to discuss how Chainlink is orchestrating the connection between blockchains, DeFi, and TradFi.Brought to you by

Introducing the Chainlink Runtime Environment with Chainlink Co-Founder Sergey Nazarov. At SmartCon, Chainlink Co-Founder Sergey Nazarov sits down with CoinDesk's Jennifer Sanasie and Sam Ewen to detail the massive complexity facing builders and institutions and introduces the new Chainlink Runtime Environment (CRE), an orchestration layer designed to simplify the creation of advanced smart contracts. He shares how this toolkit is already enabling complex solutions for central banks and institutions like UBS, preparing the way for tokenized funds and private, cross-chain trade flows. - This episode was hosted by Jennifer Sanasie and Sam Ewen.

Unpacking the shift in US crypto policy with Chainlink Co-Founder Sergey Nazarov. At Chainlink's SmartCon, Chainlink co-founder Sergey Nazarov discusses how the new political commitment to crypto in the US has removed a major "counterbalancing force," accelerating the industry and legitimizing blockchain for global finance with CoinDesk's Jennifer Sanasie and Sam Ewen. He emphasizes the crucial role of the Trump administration and agencies like the SEC in creating clarity, which is now converting Chainlink's long-term institutional deals into "go live" infrastructure implementations. Plus, he addresses the persistent misconception among some Democrats that blockchains encourage money laundering, arguing the technology actually reduces illicit financial activity compared to traditional systems. - This episode was hosted by Jennifer Sanasie and Sam Ewen.

What is a brain-computer interface? How can a paralyzed person use her brain to control a robotic arm? How can someone who's lost the gift of speech use brain signals to broadcast his voice again? Can we eventually restore autonomy and dignity so seamlessly that the technology disappears and the person reappears? Where are the ethical boundaries between restoring function and spying on private thought? Who owns the stream of neural data that represents you? Join this week with guest neuroscientist Sergey Stavisky as we dive into the world of interfacing brains and machines.

Procyk, Milan www.deutschlandfunk.de, Europa heute

Procyk, Milan www.deutschlandfunk.de, Europa heute

Host Wayne Shepherd interviews Sergey Rakhuba, President of Mission Eurasia, who shares his journey from growing up in a Christian family in Soviet Ukraine to leading a ministry serving the former Soviet Union. (click for more...)Website:  MissionEurasia.org Gift catalog:  https://missioneurasia.org/your-gifts-change-lives/Sergey recalls his struggles with faith during his youth under Soviet pressure, his spiritual turning point after overhearing his parents' prayers, and the deepening of his faith while serving in the Soviet army. After studying at Moody Bible Institute and settling in the U.S., he began leading Mission Eurasia, which was headquartered in Irpin, Ukraine, until the facility was destroyed early in the Russian invasion. Undeterred, the ministry mobilized thousands of trained young Christian leaders to provide food, trauma counseling, Scripture, and hope to millions of displaced and suffering Ukrainians. Sergey describes programs such as Summer of Hope camps for children and Gift of Hope Christmas outreach, all designed to bring healing, comfort, and the message of Christ amid the devastation of war, concluding with a heartfelt prayer for Ukraine, its people, and the end of the conflict.                                           NEXT WEEK:  John MunroSend your support for FIRST PERSON to the Far East Broadcasting Company:FEBC National Processing Center Far East Broadcasting CompanyP.O. Box 6020 Albert Lea, MN 56007Please mention FIRST PERSON when you give. Thank you!

In today's episode Sergey interviewing Dasha, the host of the YouTube channel "Arkana Games", about boardgames, and what do they mean to her, why it's still not a mainstream, and much more :)This episode has been sponsored by italki.

The Russian oil and gas sector has been under significant pressure this year, but has continued to withstand sanctions. Recently, however, Ukraine has launched a series of massive drone attacks against Russian oil refineries, significantly lowering their capacity and making a noticeable dent in Russia's horn of plenty.At the same time, global oil prices have slumped, which further complicates Moscow's management of budget revenues. How is Russia coping with these challenges? Is the expanded energy partnership with China providing a helping hand? And are Western hopes that the Russian war economy's energy engine will break down in the next twelve months rooted in reality?

Sergey Levine, one of the world's top robotics researchers and co-founder of Physical Intelligence, thinks we're on the cusp of a “self-improvement flywheel” for general-purpose robots. His median estimate for when robots will be able to run households entirely autonomously? 2030.If Sergey's right, the world 5 years from now will be an insanely different place than it is today. This conversation focuses on understanding how we get there: we dive into foundation models for robotics, and how we scale both the data and the hardware necessary to enable a full-blown robotics explosion.Watch on YouTube; listen on Apple Podcasts or Spotify.Sponsors* Labelbox provides high-quality robotics training data across a wide range of platforms and tasks. From simple object handling to complex workflows, Labelbox can get you the data you need to scale your robotics research. Learn more at labelbox.com/dwarkesh* Hudson River Trading uses cutting-edge ML and terabytes of historical market data to predict future prices. I got to try my hand at this fascinating prediction problem with help from one of HRT's senior researchers. If you're curious about how it all works, go to hudson-trading.com/dwarkesh* Gemini 2.5 Flash Image (aka nano banana) isn't just for generating fun images — it's also a powerful tool for restoring old photos and digitizing documents. Test it yourself in the Gemini App or in Google's AI Studio: ai.studio/bananaTo sponsor a future episode, visit dwarkesh.com/advertise.Timestamps(00:00:00) – Timeline to widely deployed autonomous robots(00:17:25) – Why robotics will scale faster than self-driving cars(00:27:28) – How vision-language-action models work(00:45:37) – Changes needed for brainlike efficiency in robots(00:57:59) – Learning from simulation(01:09:18) – How much will robots speed up AI buildouts?(01:18:01) – If hardware's the bottleneck, does China win by default? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Artist: Sergey Sanchez (Moscow, Russia) Name: September Podcast, 2025 | Special for DHM Genre: House / Deep House Release Date: 04.09.2025 Exclusive: Deep House Moscow Sergey Sanchez: www.facebook.com/sergeysanchezmusic Soundcloud: @sergey-sanchez Instagram: www.instagram.com/sergeysanchez VK: vk.ru/sergeysanchezmusic Telegram: t.me/sergeysanchezmusic Beatport: www.beatport.com/artist/sergey-sanchez/171302 CONTACT (DHM): Email — deephousemoscow@hotmail.com Follow us: www.facebook.com/deephousemsk/ www.instagram.com/deephousemoscow/ vk.com/deephousemsk/

Sergey Nazarov is joining me live to break huge news for Chainlink! Sergey Nazarov: https://x.com/sergeynazarov ►► JOIN THE WOLF PACK - FREE Telegram group where I share daily updates on everything I'm watching and chat directly with all of you.

Industrial Talk is talking to Matt Neal and Sergey Kynev with Siemens Energy about "E-STATCOM and Data Centers and Impact to Power Quality". Scott MacKenzie hosts a podcast celebrating industrial professionals and their innovations. In this episode, he discusses grid stability and solutions with Matt Neal and Sergey Kynev from Siemens Energy. They highlight the challenges of maintaining grid stability, particularly with the increasing demand from data centers. Siemens' solutions, such as STATCOM and E-STATCOM, provide reactive and active power control, enhancing grid stability and efficiency. The conversation also touches on the need for collaboration among stakeholders, including utilities, technology providers, and data center owners, to address the growing demands on the grid. Action Items [ ] Contact Siemens Energy through their website or Matt on LinkedIn to discuss any challenges related to grid stability and data center impacts. [ ] Reach out to Sergey on LinkedIn or contact Siemens Energy to discuss further about STATCOM and E-STATCOM solutions. [ ] Attend the IEEE conference in Austin to engage with the task forces and standard development groups involved in these topics. Outline Introduction and Overview of Industrial Talk Podcast Scott MacKenzie introduces the Industrial Talk Podcast, emphasizing its focus on industry professionals and their innovations. Scott highlights the importance of collaboration, education, and innovation in the industrial sector. Scott mentions the availability of an e-book on industrial talk, which covers core components of successful industrial companies. Scott announces the launch of an Industrial News Network to centralize industry information and make it more accessible. Introduction of Matt and Sergey from Siemens Energy Scott welcomes Matt Neal and Sergey Kynev from Siemens Energy to discuss challenges and solutions in the grid. Matt provides a background on his role at Siemens Energy, focusing on grid solutions in North America. Sergey shares his career journey with Siemens Energy, specializing in grid stability equipment. Scott and the guests discuss the importance of grid stability and the role of transmission and power generation in maintaining it. Challenges and Solutions in Grid Stability Scott and Matt discuss the need for more transmission lines and the challenges of building new infrastructure. Sergey explains the concept of grid stability, focusing on frequency and voltage balance. Sergey introduces STATCOM (Static Synchronous Compensator) as a solution to control voltage and provide reactive power. The conversation touches on the importance of strategically placing STATCOM devices in key transmission substations. Modernization and Flexibility in Grid Solutions Matt emphasizes the importance of working with partners and running studies to predict new load pockets and generation. Sergey highlights the flexibility and adaptability of modern STATCOM devices compared to traditional solutions. Scott and Matt discuss the need for nimble and automated solutions to meet the rapidly evolving demands of the grid. The conversation covers the role of system operators and the importance of automation in maintaining grid stability. Impact of Data Centers on Grid Stability Scott and Sergey discuss the significant demand for power from data centers and the challenges they pose to the grid. Sergey explains the unique load behavior of AI data centers, which peak within milliseconds or...

We tell the story of the single greatest business ever created: Google search. From its origins as a Stanford research project called BackRub, Google became the front door to the internet. Today it's an essential service for over half the world, and one that generates more profit than ANY other US company — more than Apple, Microsoft, or Berkshire Hathaway.But it wasn't always so obvious. When Larry and Sergey began working on BackRub in 1996, search was a backwater industry in silicon valley. Existing search companies were eking out a living as vendors to the then-dominant “portals” like AOL and Yahoo. Google's come-from-behind success was the result of three massive step-function leaps forward in algorithms, infrastructure and business model… some invented by Google and some borrowed (and perfected!) by them.Today, things are not so obvious once again for Google. Despite earning more profits than all of its big tech peers, its stock trades at significantly lower multiples — a $1 trillion or more discount to Apple, Microsoft and Nvidia. Investors are concerned that AI will render Google's beautiful business model obsolete, even though Google also basically invented modern AI and continues to lead on many dimensions. This episode begins a multi-part series where we dive into the full history that led us to this point. Tune in and enjoy!Sponsors:Many thanks to our fantastic Summer ‘25 Season partners:J.P. Morgan PaymentsAnthropicStatsigVercelLinks:BackRub recreationOriginal Google logoJeff Dean's resumeWorldly Partners' Multi-Decade Alphabet StudyEpisode sourcesRadio City Live Show:Join us July 15 at Radio City — Ticketmaster: https://acquired.fm/nycJuly 12 Central Park RunJuly 15 Pre-Show MeetupJuly 15 AfterpartyJuly 16 Encore Event with J.P. Morgan PaymentsCarve Outs:The Rehearsal with Nathan Fielder (Season 2)Your Friends and NeighborsAndor Season 2Gamecraft Season 3Steam Deck vs Switch 2 dilemmaMore Acquired:Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

(0:00) The Besties welcome Sergey Brin! (0:40) Sergey on his return to Google, and how an OpenAI employee played a role! (5:58) AI's true superpower and the next jump (12:23) AI robotics: humanoids and other form factors (17:07) Future of foundational models and open-source (19:59) Human-computer interaction in the age of AI (31:09) Partner shoutouts: Thanks to OKX, Circle, Polymarket, Solana, BVNK, and Google Cloud! Check out OKX: https://www.okx.com Check out Circle: https://www.circle.com Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffec