The Rise of Trading and AI on BNB Chain

So, yeah, as per all AME, let's start off with the projects and speakers introducing themselves. Let's welcome Herds Floor there. Scandal please. Hey guys, this is Bingson or aka Crypto Scandal from the Herds Floor team, I'm the co-founder and CEO. So we are a permissionless, I'm trying to prepare for the infrastructure. We are trying to make a purification available for everyone and any assets to be able to be tradeable with a leverage. We just launched our mandate on VMB Chain and we have been here building on VMB Chain for almost a year. And thanks for the team to invite us to be here and thanks for all the support. Thanks. Yeah, thank you for building on VMB Chain as well. Next up also a builder on VMB Chain, if dot AI, please introduce yourself. Fiona. Hi, thanks for the, can you hear me clearly? Yep, I can hear you. Okay, yeah, I'm Fiona, head of growth and stand-ex. We are a Purpose Dex on VMB Chain and Salana. Over the last 18 months, we built an 11% team and took the product from zero to profitability. Without we see or self-founded, we built the stablecoin, Purpose, and the first on-chain block options. Brunk-Tand, original design and brand are all in house two. And the peak, we have seen over 200 million in DUSD supply and around 900 million in daily volume. I'm happy to be here today to discuss AI and trading. Yeah, thank you so much, Fiona, from stand-ex. Next, let's welcome another project, if dot AI, please introduce yourself. And yeah, hi everyone, I'm well-off from the FBI Global Marketing team. And our team is leading on-chain trading platform serving over 20 million users. We currently cover more than 190 blockchains, 30 launch fans and over 10 million tokens. Our platform provides a fast secure and also professional trading experience, which features including one-click trading, runtime, market data, and also many limits orders. And we are involving more beyond the trading platform. We are building a new financial platform where users can train only crypto but also on-chain contracts like real-world assets and create IPO assets all through one unified platform. And our goal is for us to make any way to go asset easily, free-bong-chain. And thanks for inviting us for today's AMA. We are looking forward to it. Yeah, thank you so much. Well, I think almost all projects in the web3, we all aim to be mainstream eventually. The adoption is increasing and let's look towards that. Last but not least, trust wallet, Scarlet, please. Hey, hello, hello everyone. Hello folks. Thanks for having us. I'm Scarlet, and I lead the AI initiative at Charcel-Wolet. So I believe maybe some of the audience are our users. So quick version of who we are. We are one of the biggest self-custody wallet in the world. And self-custody, that means your keys, your cryptos. So we never hope your assets for you to. And this year I will see AI has basically become one of our biggest batch internally. And we are doing it on two fronts. First of all, for everyday users, we build the trust wallet right into the app. So it helps you to understand what you are holding, what a transaction actually does, what the risks are before you sign, sign the transactions or contract. And you can think of it as a assistant who raised and find print for you. And secondly, for developers, we launch the Charcel-Wolet agent gates. We call it a talk. So it basically lets the builders create the AI agent on top of self-custody wallet, including the trading agents, you know. So yes, the trading agents are commissioned, which I know is why we are here today. So yeah, happy to dig in more in the following topics. And really happy to be here with all friends. Yeah, thank you so much, Scarlett from Charcel-Wolet. Indeed, this is a good sign to see where your BNB chain, Charcel-Wolet, we are all working towards AI and diving into things, straight up for the intersection of AI and trading on BNB chain right now. We would like to ask how much of it do you guys feel is like hype versus rail usage? So yeah, we would love to hear your views about this maybe stopping from her slow-peace. Okay, thank you, Water. So basically, we have been, you know, like as a team and as an individual, in terms of using AI and integrating that into my day to day, like a work, we've been doing this for quite some time. I would say like as in for more professional kind of like workflow, yes, it has already been integrated. And as for us, we have been vastly using, you know, like integrating the AI workflow into our design, product and interview and you know, like a brainstorming and also like in terms of like a product and also like a security, like on a security perspective, we have been fully adopted in AI of course. But in regards to, you know, like a more like a wider adoption, I think there's still a long way to go. Especially for those users who are not like professional traders, clients or like a small contract that developer or product managers, they're not like professionally terminally being in Web3. Then basically I have witnessed that that's, you know, many of them are learning, but it's not still not yet a part of their daily life. One issue here is I think especially when it comes to Web3, the barrier to entry, especially for, you know, like a day to day usage, it's too way too high. Like for many people, they just don't know like where to even start with, right? I would say like the first thing that we need to think about when it comes to, you know, like the AI, integrate AI into the crypto is about how we can integrate that into trading, not just for the quant, not just for the professional algorithm traders, but how to integrate that user experience for into the daily life of average users, right? They may not have like a professional knowledge about trading and, you know, like, but they want to do the same as a quant, as a professional, you know, participant who can really like have good strategy and make money. Like we need to, you know, really find them pass way to even kickstart their journey to integrate AI into crypto. And I've seen that especially for Binance.com itself with the agent and also like for BNB, the agent stack and all the end-enrichs like we have made quite some effort, but I still think this is not enough yet especially when it comes to very particular, very specific use cases, for example, for the trench, right? Like for mean points and also like for perv traders, where do they start? What they actually trading and why do they care? What kind of advantages this, you know, like agent stack thing can really, you know, like make a difference? So these are the things we are really thinking about when we delivering some of our like, you know, like AI pervxal like it's skewers and mind and widgets things, which we can talk about later in this AMA. Yeah, so these are basically my thoughts. Thanks. Yeah, thank you so much, RESTFLOW. Yeah, from, you know, I'm working on the AI initiatives at BNB, and I agree with what you see, like the adoption thing, burial things, but a good thing to know is also why I'm so excited for AI is that the barriers, the adoption can also actually be sped up and helped by AI. So, you know, in a past, very difficult to find the right protocols to use or aggregating your taxes and so on. All these can be set up by AI and that makes the UI UX easier for massive adoption. So, very excited for this, hopefully, it's true and then, you know, we get more and more people, you know, leveraging on crypto for the benefits of their financial assets. That's great. The same question, so for AI global, maybe have your thoughts, please. Yeah, thank you. And from my point of view, I think for now, the demand is real, but there is still a long way to go. For like AI already provides or clear value in areas such as token discovery, maybe real-time market monitoring, and ancient data analysis, also maybe signal generation and also risk alerts. These are highly practical use cases because traders face an overwhelming amount of information every day, especially in a very active ecosystem like B&B chain. But like, at the same time, there is definitely some high value. Many products right now are presented as trading agents, but they are essentially chatbots without reliable execution capacities or very valuable performance. And I think AI is already very useful for this garrie in the analysis, but only autonomous trading and firm management is still at an early stage and for like products for every AI, I think the opportunity is to connect AI with real market data and also actual trading infrastructure instead of simply answering questions. AI should become part of the company trading process from this garruring opportunity and evaluating race, while assisting with execution, health, trade analysis, so maybe like in short. The demand is real, but trust, risk, down-true and execution still needs to catch up. Nice, nice, I agree. I think for us, people in the intersection of AI and Red 3, you had the ultimate tech dream, we do think that agents and bots are different, agents are self-evolving and they have processing thoughts and so on. So the aim is for AI to be on-chain, on B&B chain, and then resources like inference, APIs, etc. can be paid from the profits that they got off trading, I think this is the ultimate go and concept. Crypto Skanda has a similar, I mean you developed a similar concept and framework as well on B&B chain, so yeah, hope that all these things can slowly come into place and yeah, starting from AI and trading on B&B chain. All right, next up, same views as well, please trust wallet, should I share these views? Yes, about whether AI is a app or is a real usage. Yeah, actually we discussed this question simultaneously, between B&B chain, trust wallet every day right, every week at least. So the only answer here I believe that's both. And right now there's more marketing AI than real AI. I believe, let's just say it. But internally, I mean for me, you know, my role in the team is a PM. So usually I will use a simple test to verify if the AI product is just a real infra or real features that can be have the adoptions or whether it's just a marketing for myself. So really that will be three questions. The first one is what is the AI actually doing? And for example, it is really a lot of things like ancient data and making anything of it or it's just a regular features with AI icon on the landing page, you know, just a very generic like a chat board without any unique data feedings or a without any got real settings of it. And a thing to leave like do people really come back? And internally I was sure that that's one of our no-stars to verify whether the product have the real adoption. So I would say the real AI product you there will definitely retense. And they ask follow-ups proactively and they go deeper ask more demand to the AI and usually have product get only one curious tap and that's it. And three, when the AI gets something wrong, you know, what happened? In the end, it's more about the accountability. So I will see the real product have the safety tracks and have the quality monitoring behind the things. That's one of the like areas we put lots of our efforts on. And I will see high product just to hope you don't notice that that may make them mistakes. So now from what we see running trustworthy AI every day, the real demands is absolutely there. But there is an interesting part. It's not AI trick for me.