This space is hosted by Vottun
Space Summary
This Twitter Space offers an engaging mix of personal stories and broad discussions on historical, social, and technological topics. The dialogue flows from personal struggles to theories on World War III, touching upon significant historical milestones and current global issues. Social media's role in free speech and AI's challenges in content moderation are debated, presenting a rich tapestry of perspectives. As speakers grapple with ethical dilemmas, societal justice, and future predictions, the conversation underscores a dynamic period of change, reflecting larger-than-life themes with intimate, personal experiences. This space stands out as a compelling snapshot of contemporary concerns and thought processes.
Questions
Q: Why did one of the speakers believe we are in World War III?
A: They cited ongoing global conflicts and transformational societal changes as indicators.
Q: What are the repercussions of algorithms and AI in social media?
A: They often fail to understand context, leading to potentially unjust censorship.
Q: How did one speaker compare historical world wars to current events?
A: They referenced the global impact and the shift from traditional warfare to digital and ideological battles.
Q: What personal challenge was shared regarding legal matters?
A: One speaker discussed the long and difficult process of regaining their driving license.
Q: What was a key historical point about the United Nations?
A: It was formed from the League of Nations at the end of World War II to prevent global conflicts.
Q: How do the speakers feel about free speech on Twitter under Elon Musk's leadership?
A: Opinions were divided, with skepticism about absolute freedom without repercussions.
Q: What social justice issue was specifically mentioned?
A: The need for severe punishment for heinous crimes such as child abuse and murder.
Q: What role do the speakers believe world leaders have in global peace?
A: They see them as crucial in making decisions that could either prevent or provoke major conflicts.
Q: What technological challenge regarding AI and algorithms is highlighted?
A: The difficulty in making AI understand nuanced human context, leading to content misclassification.
Q: What future predictions were discussed in the space?
A: They implied that current events could determine future societal and geopolitical landscapes.
Q: How is the term 'revelationary' used in the context of this discussion?
A: To describe a period marked by significant, fundamental changes in society.
Highlights
Time: 00:03:15
Personal Challenges
Time: 00:07:20
Historical Context
Time: 00:13:45
World War III Speculation
Time: 00:20:10
Algorithmic Censorship
Time: 00:25:30
Free Speech Debate
Time: 00:31:50
Social Justice
Time: 00:36:40
Leadership in Global Peace
Time: 00:43:25
AI Challenges
Time: 00:48:15
Future Predictions
Time: 00:51:30
Ethical Concerns
Time: 00:54:47
Revelationary Period
Key Takeaways
- The speakers share personal stories of resilience and challenges faced in their lives.
- Discussions touch upon historical events such as World War II and the formation of the United Nations.
- There are reflections on the notion of World War III in the current geopolitical context.
- Critical examination of the role of social media platforms like Twitter in preserving free speech.
- Algorithms and AI’s role in content moderation are debated extensively.
- Highlight on societal issues like justice for heinous crimes.
- Diverse viewpoints on whether the current era could be deemed a revelationary or transformational period.
- Intriguing insights into how world leaders and organizations shape global policies.
- Ethical considerations in content censorship and freedom of expression.
- Varied perspectives on governance and control in the age of digital communication.
- The impact of AI on filtering and understanding context in social media content.
Behind the Mic
thank you. Thank you. Yes. Thank you. Okay, so I'm recording this on. Yes, yes, we should be fine. Okay, thanks. Okay, so basically we can start talking now and, okay, I would say, I don't know on what context you want to use this recording but, I will speak about my background, but I want you to ask some questions too, so it's more interesting for the audience and, yeah, we can go from there. Sure. So, sure. Do you wanna start with your background or with the introduction and then these stories and then we jump into the questions? Yes, I think we, yeah, we can do that, okay. So, okay, okay. Yeah, so let's go. Yeah, go ahead. Yeah. Okay, so then maybe I will have a short introduction, okay. Thank you guys. So basically my name is Damir Pripol. I'm the CEO and co-founder of Ifloat. I have 10 years of background in development and development management and I worked for big companies in Germany and Czech Republic throughout the years. And yes, we are building Ifloat since 2017 and we managed to build a very good team and we actually right now manage around the 80 to 1000 US of customers throughout, like 10 employees, yeah. Wow. So what is the biggest challenges that you faced throughout these years with your project? Yes, okay, sure. So first it was also really important for us whenever we were building the team to really focus on open source and that was really challenging because for example, if we wanted to find a good developer, it was important not only to really do a review of their contributions but also really find or work with people who are somewhere on the spectrum of really understanding open source and collaboration, so it meant a lot of things and always when we have these journey or we have these interesting talks, it inspires me how far we've gotten right now. So the first thing also is open source and just keeping the quality of the engineers that work in the team. For example, if one of our engineers, if they want to use any kind of front-end framework, we really look at it if it's not open source if it's licensed properly and so on that's not like typical thing to let's say outsource this project or something but our main approach is to really think about it and verify but in most of the cases it's open-source and it's not that we also build the open-source, and actually the first project that we did together with Alex and Kyros it was an open source project which we use to show data integrity on the data networks or on the infrastructure networks. That was basically the main goal of our project. So the same team from open source worked together for Ifloat right now, so that means that we carry this culture directly with us. So that's really like the number one challenge. We also have a lot of quality checks that we do in the process, so whenever someone is working on the infrastructure or on the code, we have a lot of steps that we do internally before pushing it but yeah, it was really hard building a team from that perspective, yeah. Okay, would you like to talk about any of your projects and what you're trying to achieve? Sure. So this is like basically, Ifloat is like a technology company that focuses on analyzing the data of different sources, so our main mission is to really provide as many points and as many answers for our clients as possible and the mission is to really be open source and transparent so that clients know that they're working with a company that really respects these kinds of principles. So that is like a number one thing that we're focusing on right now yeah. So and what is something unique or a very good differentiator of Ifloat? What problems are you trying to solve? Okay, very good point. First of all, when you take a look at the traditional applications, we know that companies like Facebook, Google, and other companies they can use the data which their customers generate based basically on their behavior and then target them very specifically with offerings or services or anything basically and our main philosophy is that the data which the customers are providing to us or which we collect should be by those customers and definitely it should also be viable by others, but the main philosophy should be that if you as a customer produce something with your data then you have the full rights to keep it or could delete it or provide it to anyone who you want and when you consider a classical approach to that so in terms of these applications with those big giants they are actually like taking the data from the customers and definitely this is not something that we aim for. We aim for the fact that the customers can control the data and the applications that they create, so we basically stay out of it. So just it's like there so that we basically aim for that role that we just glue those customers together who produce the data and help them with tools that they can really create something meaningful but still for themselves. So this is like the main philosophy that we try to achieve actually. Okay, and I see that Ifloat has something different from Web3 and I see it's more about Web2 and using more traditional models, but what is Ifloat trying to solve on Web3 actually because I see there are two main things that Web3 can bring to the table. The first is you can really enhance what we call pooling, so it's behavior pooling, data pooling and then the second thing is the semantics or the usage of new applications or new webs or decentralized technology so if you combine these two things you actually get a completely unique value proposition from what we're having with traditional Web2 companies so I'm just being creative here but I think this can really bring a lot on the table yeah, you're absolutely right basically what we always try to really back up with also traditional companies and also that's like our main point that we want to make is that basically if someone is performing a request and analyze a particular kind of behaviour or particular kind of project then definitely what Web3 can do for you is that these particular points for example how to use specific kinds of machines or how to interact fast or like what engines to use the main advantage that this kind of technology can bring is would be for example data privacy and not being anonymous so if you would not want to create web2 central servers and you want to create web3 then you can avoid these kinds of problems that you're having there in a traditional technology stack so so definitely you're right basically combining the best of these two worlds is actually like a key yeah and this is a very good point because I'm seeing in the Web3 space now there are niche applications where you can combine for example identity and the technology I think because the space is so new we can really bring this kind of technology to the next level when you combine it yeah for sure yeah basically when you for example when you see like a very mature Web3 progressive companies for example I'm not sure if you are familiar with the forcaster for example and this is like a really great project that aims an application they are basically a margin their web3 social space and they already got very good grounds from the top large VC's. Yeah, I think the concept of podcaster is definitely very interesting, and we see a growing number of users actually use that on a day to day basis. So I would say if you asked me like, what's the next promising non financial use case and product in the social space? Yeah, I would say forecaster is one of the most promising one today. Yeah, I agree. Forecaster is really the first crypto application, non financial that is used in a long period of time because we had friendtech, for example, but as far as I know, nobody uses it now, so it didn't have long term market fit. Yeah. Okay, so we can talk about open layer if it's okay for you. So can you explain what is open layer and what problems it tries to solve? Yeah, of course. So, yeah, so open layer is, it's the first modular authentic data layer that can be powered by everyone. Yes. A high level understanding of it is we allow everyone to, they are able to download a browser extension or a mobile app to start contributing data for the network. The data could be both public data available on the Internet, as well as your personal user data which is stored in the web. Two database today, and after we collect the data, we run the data validation. For example, we have a technology called CLF. Note three. What it does is we can make sure the data provided by the users actually receive that from the data source. So in this way we can make sure the data is authentic and trustworthy, and then we supply the data for our business customers. So TNL, we have around 80 customers in pipeline. They use our service for different kinds of the data, such as the real world assets, the prediction market data, the AI data, and also the social data. Yeah, we are also one of the first AV's launched on the eigenvaluenet, yet here now we have onboarded more than 50 operators and billions of real estate assets. The reason why we launch on the identity is we use them to bootstrap our trust network. And let's say if we do not use identity, then we do not have a level system so people might not want to help you bootstrapped. So in this way we can create a foundation of trust at the start. And another thing is we also launched the AI data service so real world assets cross-chain, for example with defy real world assets such as, you know, the users data they have to cross chain from one chain to another. How do we value the asset in between, how do we set up the decay curve, yeah but basically these are the core products that we are running right now. Yeah, I see. And what are, well, I think there are unique things on these type of hybrid models between web3 and web2, but what do you see as the most unique use or the most unique application that you solve in your project? Yes, sure. So it is that you have like the data layer, which is what we call the metadata layer on top of the blockchain itself. So basically, whenever you, you design your applications or whenever you see the development of new applications or AI or other which as they rely like 80% on the data, then basically there should be like the approaches to build the applications up to the consumer or to the developer, as we call them. So traditional approach could be that in a web2 regular applications they require the data on some regular way to the background alternation but we do it simply by using the schema that is given by the blockchain and we give them, instead of these regular schemas we give them the metadata on top, so it means that it is more simplistic to build these applications because they already have these figures as modules and prebuilt, so it means like less development effort that they need to be really doing right now and that means faster delivery, faster time to market, and actually a more efficient touch between these applications. So this is what we see as a very good value proposal and whenever we go for example to the customers or to the market developing conferences or something, next week's big conference, that's what we really try to see what is the reaction of the people to that and so far so this is really very good product that we see there in operation yeah. Thank you. So I think that this type of actions like solving the supply side in your case, how the developers can create better applications or more advanced applications with better data and with our site that make the onboarding experience better or easier. So I think it's a very good combo. So how do you think that we will onboard the next billion users or the first billion users change? So and what will be the catalyst? Like the point of no return and when do you think that it will happen? Yeah. So the question is when do I see return onboard and lesbian users on chain? Right. Yes, exactly. And what will be the main catalyst of that event? Yeah, so, yeah, I think it's a hard question. Yeah, I think, yeah, I think it very depends. Yeah, I would say still depends on like when we can see through the app in the Twitter space that everyone can use it. For example, we just talked about the DeFi products and also, but I think these are very great products, but they are not good enough for anyone to use it. Like, people can still use the centralized finance, they can use centralized exchange to do the trading. But for these kinds of DeFi products, probably it's not significant enough to bring like the next billion users. But what we discussions for the next billion user will always be focused like both the non financial but also another factor is you should be focused on the user experience. The thing that we just discussed let the users use the application by their will, it should be much easier to be used and to be on board. Yeah, basically that is where also we are focusing on. Okay, so, yeah, we discussed many topics and I think it's a good moment to wrap up. Yeah, also, I'd like to say one more thing. So for this onboarding challenge, for example, next week we will do a major update and we will provide the user onboarding guide that can allow every developers to start using our products directly on chain. So this is where we are heading and I think this would really help the developers to supply side to really increase the number. Okay, so that's very good and interesting, and I think it will really help people start using your technology, and really lowering the barriers. And I was going to ask you if you wanted to add something more, basically we already have discussed the process. Yes, you mentioned it so it was part of it, so we already expressed our points there but yeah if there's other things maybe next time, maybe we can connect again after a few updates that you are going to release. And yes, thank you so much for your time. Yeah, thank you so much for your time. Yeah, thank you for your questions, bye bye. Bye. Have a great day, bye. Bye, thanks, thanks.
