RDX

@Kyroh @MINHxDYNASTY @Moku_HQ @Ronin_Network ofc kyroh

I face @MINHxDYNASTY in the first round of the @Moku_HQ grand arena tournament today 👀 Who wins this???

@DrMaddyyy @AveForge its getting change every 1-2 day , there's a lot of tools you can use

@rdx_xt @AveForge Yeah, wen moku teams sharing

Gaming is not dead yet Finished 3rd on Ave forge Iron dawn tournament got my reward in both Megaeth and USDM Also got a legendary gear with 3 modules slots only available to the tournament winners Waiting for the next season of orbital run Thank you @AveForge

@mabiwiz It'll pass ,be strong

really anxious for the past few days bc of what is happening now in our country gas prices hike so much and even electricity is too high now so today decided to prepare my stocks for the coming days the price of everything is so high 😭 hopefully this ongoing shit ends soon

@Hakan0xNFT This is fire. Filtering is key.

There’s no shortage of signals. Twitter threads. Dashboards. Alerts. Group chats. Everyone’s “early” on something. But when everything is a signal… nothing really is. The real problem isn’t access to information anymore it’s filtering what actually matters before it’s too late. Because speed without clarity just leads to bad trades faster. Been experimenting with @CrispPredict and it feels different when the noise gets cut down. If you want signal without the chaos: app.crisp.trade/ref/Hakan0xNFT Join, get your graphic, and reply it 👇 What’s harder for you right now finding signals or trusting them?

@Nonaktifmurpi @foruai @BNBCHAIN real af

For most of the time the internet has been around it has been easy to start your story over $FORU You can change the direction you are going. You can start talking in a way. You can go into a situation. You can show people a version of yourself. Because people do not remember things for very long it feels like you are really starting fresh. The things that happened before are forgotten. The new story about yourself is all that people know. Being able to change like this has always been a part of what it means to be yourself online. This ability to change depends on being able to separate your old self from your new self. When people can see what you did before it is harder to separate your old self from your new self. This is where things, like @foruai make it harder to start over. When you try to start people still remember what you did before @BNBCHAIN

@ultracrypto78 @XOOBNetwork Real af

Been noticing something slightly off in how people move in web3 lately, especially around @XOOBNetwork it’s not really about being early or late anymore… it’s how short people think jump in, grab what’s available, disappear, repeat. nothing carries forward. no build-up, no memory, no real edge. just starting from zero over and over again what’s interesting is xoob doesn’t block that behavior, it just makes it pointless if what you post doesn’t carry weight, it disappears. if the people around you don’t respond, it adds nothing. if you stop showing up, it’s like you were never there so naturally the approach shifts. you don’t chase quick returns, you start thinking in layers less farming, more positioning over time it changes the questions you ask. instead of looking for what you can extract, you start paying attention to what you’re actually building through your activity because in a system like this, everything leaves a mark. your posts, your interactions, the results tied to them… it all stacks into something visible and most people aren’t really used to operating like that yet but once you do, it’s not just about earning more. you start becoming part of the structure itself, not just passing through it xoob.link/?ref=3e4b0299c4

@SOL_Inator @3look_io The compounding effect is what will build real retention. Smart design.

Do you know about the first native campaign on @3look_io 👀 The flow is super simple: join → post → claim No complicated steps, no hoops to jump through, just a clean loop that fits right into your usual posting It’s nice seeing a system where your activity directly turns into rewards and it feels natural on the timeline Join the culture and watch things add up over time

@mat_rash38998 @nicegramapp crying rn at scroll-to-earn. next up breath-to-earn?

Scroll-to-Earn, that's the go now On @nicegramapp you can scroll and earn and is simple ➟ Scroll, read, engage → earn Gems ➟ Real activity only (no bots, no fake farming) ➟ Rewards based on depth, time, and consistency Your attention is no longer wasted. It’s measured. It’s rewarded. And it compounds: ➟ Gems feed into the Profit system ➟ Active referrals boost your rewards ➟ Everything tracked transparently No new behavior needed. Just use the app like you normally do, and earn. From attention being extracted To attention being rewarded

@Alicia_10B @0G_labs bro what 'truly owned' AI onchain? that's a big claim

Most people still think large language models belong behind corporate APIs, but that feels outdated to me. @0G_labs is quietly shifting that narrative by making onchain AI deployment realistic, and once models live onchain, control and value stop being centralized and start becoming truly owned.

@0xPhoenix77 @PerleLabs Trustworthy AI isn't about models, it's about the data foundation. Perle's layers make that clear.

Most people use AI every day. Very few people ever think about where its data comes from, how that data gets shaped, and why some outputs feel reliable while others feel slightly off. That gap is exactly where @PerleLabs is building. Because instead of focusing on the model itself, Perle structures the entire system underneath it into clear layers, each responsible for turning raw data into something usable, coordinated, and ultimately trustworthy. 1. Data and Task Layer Everything starts here, at the point where raw data enters the system in all kinds of messy formats like text, images, audio, or video, and needs to be processed before it becomes useful. This layer handles the full lifecycle of data: > Ingesting data from different sources > Structuring and preparing it > Assigning tasks for annotation and validation At this stage, the system defines what data is worth using and how it gets transformed into something models can actually learn from. 2. Coordination and Reputation Layer Once data starts moving through tasks, coordination becomes the core problem, because the system needs to decide who does what, how quality is measured, and how contributors are evaluated over time. This layer acts as the control center: > Routing tasks across contributors > Calculating reputation based on performance > Allocating rewards tied to quality It connects human work, off-chain processes, and smart contracts into a single flow where contribution and credibility evolve together. 3. Settlement and Record Layer After work is completed, results move into a layer where everything becomes recorded, finalized, and economically settled. This includes: > Recording completed tasks on-chain > Updating contributor reputation > Executing token transfers and rewards At this point, every contribution becomes part of a permanent history, creating a system where work can be traced, verified, and audited over time. 4. Application and Interface Layer On top of all this sits the layer that users actually interact with, which translates the complexity of the system into something intuitive and accessible. This layer provides: > Dashboards for contributors and clients > Integration tools and SDKs > User-friendly workflows While the underlying system remains complex, the experience stays simple, allowing users to interact with the network without needing to understand every layer behind it. What makes this architecture interesting is how each layer plays a specific role while still connecting into a single system: Data gets processed, work gets coordinated, results get recorded, and users interact through clean interfaces. That structure turns data into something more than just input. It becomes organized, validated, and economically aligned. And over time, that’s what shapes how reliable AI systems actually feel in the real world. Im participating in @PerleLabs community campaign #PerleAI #ToPerle

@MR_CJ30 Garbage in, garbage out is the truth. Perle Labs' human-verified, auditable data is the only way forward for AI.

I have got to admit it, AI training data has been a big mess for a long time. There’s basically no reliable way to get high quality data and we all know the rule: garbage in, garbage out. If the data is bad or full of mistakes, the AI will spit out bad or mistaken answers too. That’s exactly why @PerleLabs caught my attention. Their whole idea is simple but powerful put real humans back in the middle of the process between AI and the data it learns from. Instead of letting anonymous people or even other AI systems create the training data, Perle Labs uses verified experts. Doctors check medical data, lawyers review legal documents, linguists handle language tasks and so on. These humans add real world context and meaning that AI can actually understand. The result? Far fewer hallucinations and much more trustworthy answers. On top of that, they reward these experts based on a reputation score. The better and more consistent your work, the higher your score and the better you get paid. Everything is recorded on the blockchain, they use Solana, so you can actually see where every piece of data came from, how it was checked and even how it changed over time. Full transparency. This actually matters, especially as a student. I use Al every day to understand tough topics, break down research papers, and prepare for class But recently my lecturer called out a point I made that came straight from Al. it just wasn't accurate That made me start asking the big questions. • Where does the Al's knowledge actually come from? • Who trained it? • On what data? • And who verified it? A lot of today's Al is being trained on data that other Al created with no humans double-checking it. Over time, small errors pile up, the model loses touch with reality and we get something researchers call model collapse. That's scary when Al starts being used in hospitals, courts or government decisions. From everything I’ve seen, here’s what stood out to me about what Perle Labs is actually building, They’re creating a trustworthy and independent data foundation for AI. Every contribution is: • Done by verified experts. • Scored for quality. • Recorded permanently on-chain (so it's auditable forever) They've already hit big numbers: over 1 million annotators and 1 billion scored data points. The team comes from Scale Al (the $30B company that works with the U.S. Department of Defense and Meta) and they've raised $17.5M from top investors like Framework Ventures, CoinFund and HashKey Capital, isn't it amazing. Recently they made another smart move: voice contributors now get paid in USD1, a stablecoin backed by World Liberty Financial. No crazy token price swings just real, stable money for real work. From what I have discovered In all honestly, Perle Labs isn't just building better data they're building trust infrastructure for the entire Al future. In a world where accuracy can literally save lives, this human-first, reputation-driven, fully auditable system feels like the right direction. Better data = better Al = more reliable tools for all of us. What does trustworthy Al mean to you? Drop your thoughts below. I'm participating in the @PerleLabs community campaign #PerleAl #ToPerle

@heisoxmayor If your content is truly a "banger," you shouldn't need a CTA. Let the value speak.

Your content is boring if you don’t have a good structure. one of the most underrated structure is CTA. here are 4 CTAs you can use for your next banger post: > engagement CTA - "Drop your biggest struggle with [topic] below" - "Which one would you pick: A or B?" > follow CTA - "If you found this helpful, follow me for more [topic] content" - "I share [topic] insights daily, hit follow if you want more" > bookmark CTA - "Bookmark this for later" - "Save this thread, you'll need it" > follow up CTA - "Want part 2? Let me know" - "Should I break down each of these in detail?" which one do you use the most?

@JepoBuilds It won't save it, but it'll definitely sell it.

hear me out great marketing can't save a bad product.

@ebukaarcryppted Nahhh for real tho, where tf do those hundreds of spots even go? Good question.

when NFTs good and sweet, a 1000 Supply Collection or less can do collabs with atleast 200+ Communities, given both GTD and FCFS spots i mean with 800 Supply, if you give 2 GTD to each community, that's 150+ communities, (minus the Projects Community and also not counting the FCFS Spots) this day's, you can't even see 50+ communities get Collab spots, what's happening to the rest spots?

@Wilsonpablo108 @PerleLabs Nahhh, finally someone said it. Expertise > data volume.

People assume AI gets smarter just from more data But what really matters is who is behind that data A lot of systems today rely on large scale contributors with little context of the subject That works for simple labeling but struggles when real expertise is needed In areas where accuracy matters small misunderstandings can affect how a model learns and responds That is what makes @PerleLabs approach interesting They focus on bringing in qualified contributors and building a system where reputation is tied to the quality of work over time It is not just about completing tasks It is about ensuring the input comes from people who understand what they are working on As AI keeps getting integrated into real world decisions The layer of human expertise behind it becomes more important Projects like this are trying to make that layer more reliable and accountable #PerleAI #ToPerle participating in @PerleLabs community campaign

@Tobeskii_ @PerleLabs Real data integrity demands transparency and human validation. That's PerleLabs.

It’s a bit uncomfortable when you realize how much we rely on systems we don’t really understand. Everything runs smoothly, sure, but there’s always that quiet question of who’s actually in control? @PerleLabs tries to shift that balance. Instead of keeping things locked in opaque systems, it brings people into the process and gives contributors fair recognition for their work. With #PerleAI and #ToPerle, the idea is simple which is to make contributions visible and valuable, while still providing businesses with reliable, verified data they can trust. And in areas like healthcare, where mistakes can have serious consequences, that level of accuracy matters even more. @PerleLabs involves skilled professionals in the data process, helping ensure cleaner datasets and safer, more informed decisions. It’s not a perfect system, but it feels like a move toward something more transparent and more human. — participating in @PerleLabs community campaign.

@Bakioption @letsCatapult @KuCoinVentures gamified" gambling with extra steps? Bold.

Excited to share some big news! @letsCatapult 🚀 We’re thrilled to have @KuCoinVentures backing our latest journey. Their support in this funding round isn’t just investmen. It’s a catalyst for our next growth phase. This partnership opens doors to a new chapter of innovation and expansion for us. Catapult is charging forward at full speed. By blending gamification with real world strategy, we’re redefining what a token launch can be: fast, dynamic, and completely frictionless. Every launch is designed to be an experience volatile, exciting, and rewarding. This is more than just growth. It’s about creating moments where innovation meets action. With the guidance and support of amazing partners like @KuCoinVentures, we’re set to accelerate, adapt, and reach new heights in ways we’ve only imagined. Here’s to pushing limits, breaking norms, and building the future of token launches. The journey is just beginning, and we’re inviting the community to be a part of this high octane ride. Let’s go! 🌟

@skygecko_ W take. This is 🔥

It's safe to say this is accurate in its own way You should check your's too W tool Bawsa

@JPuurnomoa @ConcreteXYZ Smart. Active management, disciplined rebalancing, and risk-controlled withdrawals beat APY chasing.

Concrete Vaults offers a more structured and actively managed approach to asset management. When making a deposit, users receive shares that represent ownership of the funds within the vault. The number of these shares does not increase, but their value rises in line with the performance of the implemented strategy. The eRate reflects the value per share, so when the vault generates a profit, the share value increases accordingly. The NAV, on the other hand, indicates the total assets under management, and any increase in the NAV directly impacts the share value. @ConcreteXYZ strength lies in its dynamic and disciplined management. The vault actively allocates funds to the best opportunities, exits suboptimal strategies, and performs rebalancing based on market conditions. Additionally, a cycle based withdrawal mechanism helps maintain price stability and avoid executions that are detrimental to users. With this approach, Concrete does not focus solely on APY, but on more consistent, measurable, and risk managed results over a specific period.