#380 Halftime to AGI: Stefan Fehr on the Future of AI in Content and Beyond

[00:00:00]

Mehmet: Hello and welcome back to a new episode of the CTO show with Mehmet. Today I'm very pleased joining me, Stefan. Stefan, thank you very much for joining me here today. The way I love to do it is I keep it to my guests to introduce themselves. So tell us a little bit more about you, your journey and what you are currently up to.

Mehmet: So the [00:01:00] floor is yours.

Stefan: Yeah. Hey, hey guys. Thanks for having me. Um, so yeah, I started, um, In 2019, started using AI to create text from a website. And by the day I, um, put a lot of text on it, my, like almost at that day, I can see from the Google search console that traffic really went up. So back, so, so back in the day, I had a software as a service platform for, you know, affiliate platform for software as a service.

Stefan: apps to promote. And, um, I had four hours to create a blog article and these blog articles got a lot of traffic. And this is where we, where I decided I want to build an app, which gets the time down to 10 seconds or two minutes. That, that was the, that was the idea. So that's what we're having now. We, um, built an app.

Stefan: Where you only enter your, your [00:02:00] headline of the article and you can, you know, you can give it more information and so on. And you, you can set up your WordPress to have it automatically upload. You know, you, you can just, uh, put, um, a check Mark and then it does a plagiarism checks automatically and everything.

Stefan: So, so we're building an app. The goal is to build. an app where you have maybe a couple of seconds to a minute to enter, uh, something around a blog article you want to produce. And then the system does hundreds. Of process steps like checking for plagiarism, uh, resizing images so that, so that they load quick and so on so that you can, uh, have a perfectly optimized blog article for in the eyes of Google and get a lot of traffic.

Stefan: So I got really hooked up. by this, uh, once because I saw how the traffic went up on my [00:03:00] website. I didn't know back in the day that, um, blog articles get a lot more reach than social posts. And then that was the same time. So I saw my traffic going up on, on Google search console, like a lot. And, uh, I saw the story about healthline.

Stefan: com and how they get actually up to 200 million monthly website visitors. Only by creating super high quality blog articles. They don't spend advertising money. And 200 million, I was like, wow, this is possible. And at the same time, you know, I saw like, um, how my, my website went up and I had four hours to create an article.

Stefan: And so, so I wanted to, I started to, to use one click block article generators from other companies, but they all, you know, they didn't do it. They, they only produce texts. And so, so, so I, so I thought I want to have a tool. And then they, you know, they, they say it's a one click article generator, [00:04:00] but it takes half an hour to create an article.

Stefan: So, uh, because you have to click, click, click, click here to adjust and so on. And so I wanted to have an app where I can have create, you know, hundreds of articles a day. at super high quality, extremely fast to, you know, build health, uh, build, build websites like healthline. com quickly. That, that was, that is still the goal.

Stefan: And, uh, for all the entrepreneurs in the field, we are having, uh, free executions monthly. So, so others can do the same.

Mehmet: That's cool. That's cool, Stefan. And, uh, you know, I would, I would start from something which people, uh, debate a lot about it. So like AI is, is no doubt transforming content creation, right?

Mehmet: And, you know, you mentioned about the quality, but still people, you know, debate, you know, [00:05:00] the, uh, The quality you, you say, you mentioned a lot of quality now. So how do you make sure that the quality is really, you know, the ones, because for me, I have, I have mixed feelings about this topic, because what defines quality, right?

Mehmet: So for me, if you tell me the quality is the SEO thing, I will scratch my head, right? Because I need the quality from a sense that if someone reads the article, really get engaged with it. So what's your point of view on this?

Stefan: Uh, well, when it comes to quality, I could talk hours, but, um, so, so, um,

Stefan: um, you have, so, so, so one thing when, when, when I talk about quality today. Or in the past, we've been focusing on automating, um, things like, you know, um, having small [00:06:00] image sizes that the images have correct, uh, good names. So, so that was a lot, uh, depending on SEO. Um, and a lot, you know, um, automating, uh, manual work, which you don't do.

Stefan: So see, for example, if you create a blog article that, that is, you know, you know, um, very informative, very engaging and so on. But you don't have good image names. You don't have small image sizes. You don't have alternative image texts. I mean, even the images, it's like so much work. And if you, if you don't invest the work, uh, you, you have an article that is, um, engaging and everything, but it'd still be very hard for it to rank.

Stefan: If you only have an article that is SEO optimized, but it doesn't have an interesting information inside, it's not going to be easy for it to rank as well. Uh, so quality has a lot of different aspects. Um, we are going to launch, [00:07:00] we're like in the finishing phase of launching a system where you can enter probably thousands of pages of information about yourself and, you know, you know, even audio and everything.

Stefan: And the system will Uh, put context in what, what, what content you write to everything it knows about you. So, uh, when you, when we're talking about, um, quality, this is something a human can never do. If you, if, if a human writer, a human writer can simply not, uh, every, for every word they write, have the context of 10, 000 pages considered, right?

Stefan: It would take months, if not years, for them to create one article. So quality has a lot of different aspects. The next quality updates we're integrating are going to be nuts. It's absolutely impossible that a human can ever Uh, have the [00:08:00] same quality. Yeah,

Mehmet: that's interesting. Now, you know what? Um, but I've seen Stefan.

Mehmet: You're talking about, you know, with the A. I. And, you know, the use of the A. I. And everyone talks about the A. G. I. And you have, you know, and I've seen like you've shared this on social media where you mentioned that we are halfway to A. G. I. Since the launch of chat GPT, is this, you know, something just, uh, theoretically you think about it or have you seen like, uh, proofs that we are halfway and why we are halfway?

Mehmet: Like, why not 10%? Why we are not like 80%? So why we are halfway in your opinion.

Stefan: So, um, for anybody in the audience who's not clear about the fact, um, uh, about the, the, the, um, how do you say? The word AGI, [00:09:00] AGI does not mean digital superintelligence. AGI is a human capable AI. So an AI that is able to do, um, you know, everything human intelligence, a human can do at, at, at, at kind of an equal level, right?

Stefan: Digital super intelligence is like, um, I don't know, super AGI. Um, so this field is developing extremely quickly and It's, it's taking, in my opinion, I'm getting a lot asked a lot, um, where are we, uh, what's, what's, what's the current stand I'm running a company. It's for me, absolutely impossible to, uh, to tell people what is the current development, because if you want to keep up with AI.

Stefan: today. This is a full time job using the highest possible, [00:10:00] uh, leverage tools to keep up, right? Like, like perplexity pro and something like, you know, and then just gathering information because we are now on a, probably on a triple or even higher exponential, uh, growth curve. Um, so, so why 10%? Well, the experts in the field.

Stefan: Say, and I've, I've heard this a half a year ago, uh, that AGI is coming by 2026 and unlike many other fields in this field, I actually trust the experts because, well, I, their, their knowledge is, is can, can only come from new source, right, right from the internet, because this is like developing right now that you cannot have, you cannot be an expert in AI because you've done it for 20 years, because.

Stefan: 99. 9 percent of the development [00:11:00] happened in the last two or three years. So, um, um, so I guess the experts in the AI field can be trusted or at least some, and though we say 2026, uh, you have to understand that we're taught, we, we, we, we are not living. in this part of development, we're not living in a linear, we just simply cannot think about development like this.

Stefan: We're talking about, so double exponential means something like this, right? So it's extremely hard to predict when the, the, the, the development goes straight up. And no time is progressing anymore. So then everything happens like, like, like an explosion kind of thing. And this is probably coming very soon.

Mehmet: So let me ask you, you know, it's, it's not like, you know, people, they think when I [00:12:00] ask, uh, it's not like reading in a crystal ball, as they say, but when this moment you talked about, you know, this double expansion thing happens. So what are the major changes? We're going to see, you know, in the work, in the workplace, in, in, in, in society in general, uh, at least maybe even we're going to see, I believe we're going to see some science even before that actual thing happens, actual AGI in the definition that you just mentioned, which I agree with you on.

Mehmet: So, but, but what will be the impacts? Because You know, like yesterday I was talking to someone and still I see people divided in the opinion, right? So, so some people, they are very optimistic, extremely optimistic, and you see the extremely pessimistic people from someone who's building, you know, on top of AI.

Mehmet: And, you know, we were talking about the quality a few moments ago. Tell me what's the biggest impact [00:13:00] that would happen once the AGI is here.

Stefan: Well, I just quickly want to say the really big impacts we cannot foresee, I believe. Um, and, and AGI is probably not the real big. Uh, but AGI is already gonna be, so what I see, well, what I, what, so I, I did do, I did study the company Tesla a lot because of personal interest and, you know, investment and so on.

Stefan: And I, I understand out of my couple of thousands of hours that, you know, I'm, uh, Studying this topic, I understand that they are the world leader in manufacturing right now. And because of all the company structures, I could talk hours and, you know, weeks on that. Um, but that means that they will be able to produce robots fast.[00:14:00]

Stefan: Uh, they're humanoid robots. And, um, these humanoid robots are already, uh, almost capable of doing or already capable of doing factory labor jobs. And I recently did, did a post where I took the video from Tesla. where everybody said the bot is so slow. And then I did some calculation on, you know, it's, it's working 24 hours a day.

Stefan: It's working seven days a week, you know, 200, uh, it's not working 220 days a year. It's working every day. And so I sped up the video to show what the, the, the actual speed of, of the robot is. It's like extremely fast already compared to human. And, um, Tesla will be able to, to produce those in millions by something, somewhere in between 26 and 28.

Stefan: [00:15:00] Maybe 29, but, but for sure, we will have millions in, in when, when 2030 hits and we will have billions 20, I don't know, 35, 40, um, and these, I mean, Tesla already says they, they, their goal is that 2026, the robot will be able to learn a job. from watching a video on an iPad on how the job is being done. So you don't even need a human to, to tell the thing anymore, what, what it needs to do, right?

Stefan: It can, you know, study YouTube itself, for example, and, um, then, then do the job. So, so this is going to transform a lot. I mean, it's going to start in production and. A very direct impact, which I'm quite worried about is, uh, the factory, factory worker globally, but [00:16:00] mainly in China, uh, because of, so, so my biggest issue here is a lot of people think, talk about today about they, they worry that their jobs are going to be taken.

Stefan: And that they don't earn money anymore. But I don't, I don't see this to be an issue at all. I mean, we, we're going to have some trend trends. We're going to have a phase, maybe a couple of years where it's going to be a little bit rough, uh, because of the, the, the transition, but since, since we have machines.

Stefan: Building cars, houses, cars and houses went, I mean, your car would be very, very small if we would not have a factory that would produce it, right? And it would still be extremely expensive, right? So, um, what I'm saying is, is, is the more work is getting done by machines, the more wealthier we get. [00:17:00] So I don't see any real issue when we have machines doing work for us, we will be more rich.

Stefan: I, for example, I can see Tesla robots. Just imagine this. Imagine, uh, 5, 000 Tesla robots Synchronized building a skyscraper a little bit outside of any town globally. I mean, they, they, they can build real estate extremely fast, extremely like all day long, you're probably, we're probably going to have a situation where.

Stefan: A student can have a 300 square meter flat for 50 a month, you know, in the future. So we, we're going to be well off. The thing is, uh, our mental, mental health, this is what, what makes me a lot more concerned because, you know, changing our habits, finding [00:18:00] fulfillment, you know, feeling useful, this kind of stuff.

Stefan: And this is where we are most. Most concerned about the chat, the factory worker in China, because, um, this is, they are going to be hit first. because this is like the easiest thing a robot can do is factory work. They, they are a lot, they define themselves with their jobs a lot, right? And so, yeah, this, this is what, what I'm seeing, but on the, on the flip side, it's, I mean, they're probably going to be the ones that get the most money as well, because I mean, there's going to be a lot of work done in China and they, they will earn a lot of money with those robots.

Stefan: They'll get a lot of taxes and, you know, yeah, there's a lot of upsides and downsides. Yeah,

Mehmet: a hundred percent, you know, so, so you mentioned a couple of, you know, thought provoking things, but I want to go back to, you know, actually what, what brought us, you know, to, to, to discuss this, [00:19:00] uh, the, the LinkedIn post you, you, you put, you've put like a couple of weeks ago.

Mehmet: So one. One phrase there, you know, uh, attracted my attention. The first thing, actually multiple phrases. So first you said that we are not ready, right? For all the things that you just mentioned. And the other thing, you know, in your prediction, you said, it's going to feel like a human 20, 000 years ago, placing the modern world and handed a smartphone.

Mehmet: Now, is this when you mentioned just now, the mental health thing, is this like us? You know, not being able to absorb, you know, this fast change. So we get lost. We lose. I'm asking this question a lot, and it's a very philosophical. And this is how I'm relating things together. True. You mentioned like they will be rich.

Mehmet: So I ask this question to many people on the show. Who, you know, work, either they are [00:20:00] like founders who are using AI, or maybe they are the experts that you just mentioned also. And I'm saying guys, if, if the AI, and I mean the robots, they're going to do majority of the tasks we do. So what we do as a human, right?

Mehmet: So here, I want you to, to, to relate all this together. So should we be worried too much? Should we be staying optimistic? How we can avoid this mental health issue that you just also mentioned?

Stefan: Um, I'm not an expert on that at all. And, um, I'm, I, the reason why I, the reason why, so the message that the post I made was with the headline, and this is what, what the message for you started as well as like halftime to AGI. We are right now. So since the launch of ChatGPT till, till the point where we have [00:21:00] AGI, this is halftime now, uh, I am.

Stefan: not seeing that television tells, globally tells, well, we have, you know, we, we've finished the 10th phase of testing universal basic income. Once AGI comes and it's working now, we know what we do. Um, so nobody needs to be worried about, you know, getting paid. Once AGI comes, we can transition. This is, this is, this is what we should hear in TV right now, is We, we've tested it.

Stefan: It's working. We are ready. What we should hear mainly in TV now is we're in, we're, we're, we're now, um, uh, running tests with, with large parts of the population on what, what, what, what are we going to do afterwards? You know, what sports programs we're running out, social [00:22:00] programs, um, health programs, uh, mental programs.

Stefan: This, this should be right now the main topic, uh, globally, what are we going to do once robots do our jobs? Um, I cannot tell you what we should do, but I, I, I can give some hints. So as an example, The kids in school today, they get prepared for a career, but we should focus way more, in my opinion, on, uh, getting them social, like, developing social skills, right, um, um, soft skills, um, um, you know, um, making them aware of, um, health, health issues.

Stefan: I mean Once we don't need to work anymore, what are we going to focus on? We're going to focus on being healthy, having a good time, you know, staying mentally fit, being, uh, organizing [00:23:00] our day, uh, without a boss telling us what to do and so on. So, um, in my opinion, we should now focus on, uh, in school, we should focus on this in kindergarten, you know, Um, um, but really how, how are we going to, uh, address this issue, especially with the working population?

Stefan: I'm not an expert and I can't really, I can't really tell you, to be honest.

Mehmet: No, that's completely fine, Stefan. You know, like, and as I said, like, it's a kind of a, you know, it's a hypothesis and it's just like an open question. I believe, in my opinion, every human should be asking, you know.

Stefan: That's why we're talking about this, right?

Stefan: There have to be some experts now. If you're an expert in this field seeing this Get, you know, vocal, you know, speak to speak on podcasts, uh, think about solutions, present the solutions, right?

Mehmet: Absolutely. Absolutely. This is why, you know, part [00:24:00] of why I have this podcast to, to, you know, it's like bring people like yourself who can bring thought provoking ideas and then get the experts to, to discuss it a hundred percent.

Stefan: Maybe look for, for your audience. We're on the CTO show. Guys develop some, some apps where people can track habits, you know, and, you know, um, uh, you know, you know, get, get, um, open AI is doing it right now with health. They, they, they, they launched, I've seen it just briefly seen that they, they did launch or are launching an app.

Stefan: Which is like, like an LLM specifically made for answering health questions. And I mean, mental health questions, right. Or mental health. So, so that you can track your mental health and then the system gives you, you know, ideas what you can do next, right. How you can improve it and so on. Somebody can develop an app like that.

Stefan: Yeah.

Mehmet: Absolutely.

Stefan: We need it.

Mehmet: Yeah, [00:25:00] of course. Of course. Like, uh, you know, you touch base on many things and I agree with you. Like, you know, we need like more. But the thing, Stefan, which I believe, you know, regarding this topic, it's gonna be a collective effort. So we need the people who have the knowledge like yourself to develop the app for a specific use case.

Mehmet: And then we need to have the People who are specialized in human behavior, people who can, you know, advice, like maybe studying history, because I'm sure like in history, we can find examples of major events that happened that shifted, you know, how humanity all together lived. Right. So, uh, it's, it's a huge topic, but I want to go little bit to, to, you know, something related to the entrepreneurship part.

Mehmet: Now, Now, AI, you know, is, is what everyone is looking after every single startup trying today to embed [00:26:00] AI if, if their product or service didn't have the AI parts or they are trying to bring it in. Um, from, from your point of view, like, Does it make sense really to put AI in every single use case or, you know, uh, it's just like something that they need, they have to check mark something, you know, maybe to please the, the investors, or maybe they want to please the audience.

Mehmet: What's your point of view on this?

Stefan: I'm pretty sure it's not making sense in any use case. Um, but I also have to say, uh, and this is one of the reasons why we don't, uh, why, why I, I think we should stop development and AI and, and develop our systems to the current level of what's possible. I give you an example. And this is, this is, I mean, as you, as I said, [00:27:00] it's probably not good for any use case or not necessary, but you have to, I mean, you have to think about it really.

Stefan: Um, what we're doing at Modern IQs is with some of our tasks, we run at the current maximum of what AI can do. And that is, you have to think about if you want to create a blog article with our system and with the quality I explained before, it takes you something between a minute and 10 seconds. So when we're, when we're using the 10 seconds, this is.

Stefan: 1000 times faster than what you can do with chat GPT, because with chat GPT, you can, you know, you, you, you, you, you can produce a text, but then you have to do all these other steps, right, like renaming the images and so on. So with chat GPT, you need four hours. And with our system 10 seconds, that [00:28:00] means our system can replace, uh, 1000 people that would need, would do the same task.

Stefan: 1000 employees today using chat GPT. Our system is as potent on that task as 1000 employees fully trained on chat GPT would be. So if you ask me, um. Is, is it necessary for any application? I would say no, but consider that, uh, it's, it's, if it is, it's currently, um, possible that a competitor who's, who's using AI might be 10, 000 times more efficient than you.

Stefan: So, right. You have to think about this very. In detail. . Yeah. Yeah,

Mehmet: yeah. abs, absolutely. So this is what we also [00:29:00] repeat. So, and again, back to the future of work, and you know, so probably, uh, it's the person who knows how to use the AI will replace the, the guy who doesn't know how to use ai. So, uh, and you know, again, if I want to put this in software perspective, so the application or, you know, piece of software that leverage the ai, you know, would be better than the ones who.

Mehmet: They didn't do it. Um, so one thing, you know, on, on that previous spot that I wanted also to. You know, take, you know, ask you about it and I ask, and I ask it not to, to, to debate with someone just, you know, for me to collect different point of views, like kind of a public survey, let's say. Sure. So that is the concept of, you know, technology singularity, right?

Mehmet: So where the concept where, you know, the technology, you know, will be, we cannot control it anymore. So it's like goes out of our control and can [00:30:00] I start to, is this something that really will happen someday? And should we allow it to happen?

Stefan: This is a, this is a really good question. So to be honest, I'm just, I'm very honest right now.

Stefan: Sometimes I think. Maybe the world is ready for a fire, a higher form of intelligence, but, but, um, I'd rather, so this is why I, I'm, I'd like to, you know, that's, that's why I'm saying like, we should, in my opinion, we should stop developing AI now. And because that's why I'm saying like, AI right now is possible to do the work of 1000 people using chat GPT.

Stefan: We, what we need is, So we're doing this, we're doing the work. Our app is doing the work of [00:31:00] 1000 employees using chat GPT for blog articles. If somebody else is, um, creating an app for any other task, it can be the same potent. We don't need, we don't need higher potent AI systems. We need to develop our systems to the, to, to what's possible.

Stefan: to the, uh, closer upper edge of what's possible right now. We, we need to use AI in this, with its, uh, with its capabilities. We're not doing this, right? So, if you ask me for technical singularity, I think this is very, it's quite likely that, that something, that it's, it's, I think it's possible. I'm seeing, uh, well, I'm not sure if you, if you've seen the, all the talk about Q star and so on and other technology like other, so what we're doing right now is we are.

Stefan: [00:32:00] Developing, uh, other parts of our intelligence artificially. We were developing systems that, you know, recreate other parts of our intelligence, not just the text auto complete like an LLM, but, um, you know, uh, so Q star, the rumors around Q star is that it's a system that understands which are, which of its outputs is better and that for can self improve till infinity.

Stefan: Um, I, I see this. Well, I, I don't see the necessity for, for something like that. And, um, I think, yeah, I, I'm, I'm, I think, I think this is, this is quite possible that, well, that, okay. What I see the most likely outcome of this is [00:33:00] that we will have a system that is so powerful and so hard to switch off or something, and that, that it'll destroy some larger part of the system.

Stefan: Of our society or our planet or something, which is so large that everybody wakes up and understands we instantly have to stop and like, it needs to be that the catastrophe needs to be so big that every person on the planet. needs to instantly understand this is where we need to stop. This is how, how I'm seeing this playing out.

Stefan: Good. Um, um, but you know what, this is not going to be like, like, like a terminator kind of scenario. I, I see this more like when we wash ourselves, With, you know, [00:34:00] with, um, with, uh, shampoo, we kill bacteria, right? But we, we, we only use shampoo. We, we don't really, we don't think about the bacteria. This is maybe, this is maybe the scale of what we have to think about there.

Stefan: Yeah.

Mehmet: Um. I'm very transparent in my podcast and Okay, I understand your point of view stefan. I know and uh, I I I respect all the opinions regarding this but one thing that I don't like I get your point, but I don't like the concept of stopping developing And the reason i'm saying this because I believe the world still has a lot of problems that humans could not End for a reason or another true.

Mehmet: That's true Yeah, right so And I'm aware at the same time that, okay, some [00:35:00] of these technologies might hurt in a way or another humans and to your point, not in a Terminator scene concept. Um, this is where again, back to the experts. And collective work. No, we should. I believe this is my point of view. We should continue developing, but at the same time in parallel work on the other social aspects that you just mentioned, right?

Mehmet: Because I think, you know, I will give you one example. So, uh, I had multiple episodes like this season and the previous season and, you know, people who are developing really, you know, good things for health in health tech using AI people who are developing great things for education, people who are and you know, like these two touch, you know, our day to day lives, you know, the health and education.

Mehmet: So we need this. Every time. [00:36:00] And like other than multiple other use cases that I don't want to go into, but the point that I want to make, and this is, I think will not change because people will be, we have been always curious. We always want to know, okay, what's next, what's next, what's next, what's next.

Mehmet: And actually this is how some of the social apps, you know, they, they get, uh, they get us hooked because we are like curious by design. We need to scroll up, scroll up, scroll up, and then keep getting. And so I think even if we, all of us. Me, you, and, uh, you know, the whole community decides, yeah, let's stop, let's stop for a while.

Mehmet: There will be that guy, you know, that he, or even maybe she, they will say, no, no, no, no. I, I'm curious. I want to see what I can get. Yeah. So it's unstoppable. So, so, you know, like, as they say, it's like out of, uh, you know, the, the, the, the bullet is already out. It cannot be stopped. This is just my two cents.

Mehmet: And I think we should not, Try to control, of course, in a sense, like control [00:37:00] as a stopping, we should. Yes, we should bring boundaries. We should work with experts. So this is my point of view on this topic, Stephen.

Stefan: So, you know what, I'm just quickly rephrasing uncontrolled triple quadruple exponential development.

Stefan: This is what we should stop. What, what I'm thinking is to build out what is already possible. It takes so much more time and especially our very slow systems like democracy or, uh, education system or retirement system, they take decades to come up to, to what we, what they could do right now. So, what I'm thinking more is like, right now it goes like, let me do this.

Stefan: It goes like this. Okay. Yeah. We should now not do this, but we should do like, you know, like more like steps like well thought through steps because we have already, we we've already been extremely far, right? [00:38:00] We should now, instead of developing GPT five or a Q star or something, we should like really take.

Stefan: Like very well thought through steps and improving and, and, and, you know, give, give the rest of, of the whole, um, global economy and systems and everybody time to catch up to what's already possible. Yeah, I get your point.

Mehmet: I, I, I, I get your point. No, no, no, totally, totally, you know, I agree with you. I think, yeah, we are now on the same page, I would say.

Mehmet: Uh, Stefan, like, you know, the time passed really fast. So, uh, final thing, uh, where people can get in touch and where do you direct them to, to, to go, to, to know more about you and, uh, uh, your startup.

Stefan: Um, I'm most active on LinkedIn. That's Stefan with F and F E H R. And, um, but really guys go on, go on modern [00:39:00] IQs.

Stefan: com. You can, we're, we're right now, we're right now finishing our second version of the platform where you don't even need to create an account. Just go on modern IQs. com, enter the headline of your blog article, enter your email so we can send it somewhere and press create, and we are sending you. a blog article with text, with images.

Stefan: And like, I don't, I can't count how many optimizing steps. And, um, you can, you can post it on, you can just copy the whole email and put, um, put it on your, you know, WordPress or whatever, or even as, as a LinkedIn article that should be possible as well. And, um, if you create an account, you have more options and so on, but, uh, really like, We, we are right now giving away one free article per month and we're trying to get this up to 10 so that every startup founder can, you know, um, have their [00:40:00] website very visible, visible in the eyes of Google and, um, without spending any time.

Stefan: It's a solution, right? So, yeah,

Mehmet: absolutely. Absolutely. So, uh, guys, you don't need to, to follow just, they will have the links in the show notes, or if you're watching this on YouTube, you will see them in the description. Stefan, really, it was a very, I would say enlightening and engaging discussion. I really enjoyed that.

Mehmet: Thank you very much for being a guest with me here today. And usually this is how I add my episode. This is for the, uh, this is for the audience. If you just discovered this podcast by luck, thank you for passing by. I hope you enjoyed. If you did, so please give us thumbs up, subscribe and share it with your friends and colleagues.

Mehmet: And if you are one of the loyal followers who keeps coming, sending me their comments, suggestions and so on, please keep doing so. I really enjoy reading them. Even if you don't like something, don't be shy. Send that to me. I'll try to always, [00:41:00] you know, improve and get the best of the best. So thank you very much for tuning in.

Mehmet: We'll meet again very soon. Bye bye.