@YusufPlug_

The Heroes of Valdir voting is finally live, and it’s exciting to see the community decide who becomes part of the very first NFT collection. This is more than a vote, it’s a chance to recognize the creators and heroes who helped shape the world of Valdir from the beginning. I’m casting my vote and supporting the builders behind this journey. Wishing every creator the best of luck! If you haven’t voted yet, now’s the time. Let’s make history together.

One thing I like about the @MossAI_Official World Cup campaign is that every mini event actually adds value beyond just earning rewards. Today’s World Cup Special Drop 2 is simple: 1: Star the Moss GitHub 2: Drop your screenshot in the comments on Moss post 3: Earn 100 Moss Diamonds I’m definitely taking advantage of it because every diamond gets me closer to unlocking deeper AI-powered analytics inside Moss World Cup. With England vs DR Congo on today’s schedule, I decided to use the diamonds I’ve earned to access better insights before making my prediction on Polymarket. After going through the analytics, I’m siding with England. The AI-backed data gives me more confidence in that pick, and that’s exactly why I enjoy this campaign. Instead of guessing, I’m using better information to make more informed predictions. That’s what makes these mini events worth doing. You’re not just collecting diamonds, you’re earning access to tools that can help you make smarter decisions throughout the World Cup. Who’s your pick for today’s match: England or DR Congo?

AI is moving faster than most infrastructure can keep up with. We’re entering a stage where the real advantage won’t come from the models alone, but from the systems built to support them. That’s why @NomismaNetwork stands out to me. Instead of forcing AI applications onto legacy blockchain architecture, it’s building infrastructure with AI-native execution and scalability in mind. But intelligent systems don’t stop at the blockchain. The way we interact with them every day is evolving too. @TheARCTERMINAL is rethinking the workspace itself, creating an environment where AI, security, and productivity work together instead of competing for attention. Smarter tools deserve smarter foundations. The future of AI won’t be defined by intelligence alone. It will be defined by the infrastructure that makes that intelligence practical, efficient, and secure.

Most people think of Web3 as a place to trade, farm, or chase rewards. What if it also became part of your daily routine? @timesoulcom is taking a different approach by combining wellness with blockchain participation. Whether it’s meditation, learning something new, exploring NFT experiences, or unlocking features like SoulBox and MysteryCave, every interaction feels connected to a larger ecosystem instead of a standalone task. I like the idea that your time spent building healthier habits can also contribute to your onchain journey. That’s the kind of innovation I’d like to see more of, where technology supports people first and incentives come naturally afterward. @BingXOfficial #BingXBlast

I’ve used ChatGPT, Claude, Grok, and Gemini to research crypto, and they’re all useful just in different ways. The problem is that crypto isn’t something you can fully understand from static information. A wallet makes a move. Liquidity shifts. A whale opens a position. Funding rates change. Social sentiment flips overnight. Every event affects another, and by the time most AI models piece it together, the market has already moved. That’s what makes Velvet-1 by @Velvet_Capital stand out. Instead of only reasoning from documents or historical knowledge, it’s being trained on continuously updated onchain activity across major networks, including transactions, smart contract events, state changes, and even mempool activity before transactions are finalized. On top of that, it’s learning from Hyperliquid’s live market data order books, funding rates, liquidations, trader positioning, and capital flows… alongside social signals like wallet relationships, onchain behavior, and community activity. The goal isn’t just to answer crypto questions. It’s to understand how all of these moving pieces influence one another in real time, giving context that general-purpose AI models often miss. If Velvet-1 can deliver on that vision, it won’t just be another LLM for crypto. It could become an AI that’s actually native to the way onchain ecosystems work, rather than trying to interpret them from the outside.