𝕱𝖆𝖎𝖙𝖍

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AI output is everywhere. What’s rare is the system that can support it, and the memory that keeps it relevant. That’s where @0G_labs and @permacastapp align. @0G_labs focuses on the system side, structuring storage, data availability, and execution independently so AI can scale without bottlenecks. It’s about making performance reliable under real demand. @permacastapp, supported by Permaweb_DAO, focuses on the memory side. Content isn’t tied to platforms or temporary servers. It’s anchored to the permaweb and linked to wallet identity, making it persistent and accessible long-term. So while @0G_labs ensures AI can keep operating at scale, @permacastapp ensures what’s created doesn’t lose relevance. System and memory. That’s what makes it last. @dgrid_ai, isn’t chasing attention. It’s refining how intelligence is accessed. There’s a quiet shift in that approach. Less focus on just building powerful models. More focus on making them usable, adaptable, and not tied to one system. Because in the end, AI isn’t defined by how strong it is. It’s defined by how easily it can be used. DGrid AI seems to understand that. And that’s where the real difference begins.

There’s something I’ve been paying close attention to lately… Real growth in Web3 is quietly evolving. 👀 What @TheDAOLabs is building with Social Mining is starting to feel less like an experiment and more like a working system.

People don’t notice a shift when it begins, they feel it when it’s already too big to ignore. That’s exactly how @Nasun_io is moving. At first glance, it looks like just another name in Web3, but when you take a closer look, you realize it’s building something deeper, something that isn’t chasing hype but quietly solving real gaps in the ecosystem. Nasun is not trying to be loud, it’s trying to be lasting. In a space filled with noise, quick pumps, and short-lived attention, Nasun is focused on structure, utility, and long-term relevance. It’s about creating a system where users are not just participants but contributors to a growing digital economy. Think about it like this, most projects are building houses on sand, Nasun is laying bricks on solid ground. The vision is simple but powerful, make Web3 more usable, more rewarding, and more connected. From user interaction to ecosystem growth, everything is being designed to feel seamless, not forced. And the most interesting part, it’s still early. Opportunities like this don’t usually come with loud announcements, they grow quietly, then suddenly everyone is asking how they missed it. Nasun is that kind of story. Not just a project, but a movement forming in real time. The question isn’t if it will grow, the question is who noticed early enough to grow with it. @Nasun_io

“We need proof” Me: drops wallet address 🧾 #xScore #nomis @0xNomis

THE MEME GAME CHANGED. HOLDING ISN'T ENOUGH ANYMORE. The meme economy entered its competitive phase. @RealGoOfficial's whitepaper puts it clearly: "Not just a token, but a playable and social utility layer that keeps communities active through and beyond hype cycles."

Looking at this chart again, one thing stood out to me. Everyone’s eyes naturally go to DAI ($40.2B) and USDC ($35.3B). That’s expected. But what’s interesting is what’s happening slightly lower on the list. USDD pulled in about $2.8B in mint volume over the last 30 days. That puts it ahead of names like PYUSD, USYC, and even another USDT mint stream in this dataset. And considering USDD doesn’t dominate headlines the same way some others do, that number quietly says a lot. Most of the activity around USDD isn’t just transfers either. A lot of it comes from actual usage inside the TRON ecosystem. Vault minting with TRX and sTRX, DeFi liquidity, yield strategies. Real on-chain demand. Sometimes the most interesting signal on a chart isn’t the top bar, It’s the one quietly holding its ground while the rest of the market slowly catches up. #USDDGlobalfriends #USDDCreator #USDD2.0 #USDD @usddio @usddio_cn

Something I keep noticing in the stablecoin LP space is that many people are still farming pools with very low returns without really checking the alternatives. For example, if you look at pools like USDC/USDT or AUS D/USDC, a lot of them sit around 0.1% to 3% APR depending on the platform. That’s pretty common across many stablecoin pairs. Meanwhile, the USDD–USDT pools have been quietly sitting much higher. On PancakeSwap the USDD LP is around 7.92%, and on Uniswap it’s about 8.68%. Same stablecoin strategy, just a better yield structure if you choose the right pair.

Most tokens in crypto try to be everything at once. $XNY takes a different pat.... it focuses on one thing and does it deeply: powering the entire knowledge layer for AI. At its core, $XNY is not just a token sitting in wallets. It’s what keeps the system alive, aligned, and accountable. Every action inside @codatta_io’s ecosystem runs through it in a meaningful way. When data is contributed, $XNY is what records ownership and contribution history, making every input traceable and harder to fake. When contributors participate, they don’t just submit work, they stake $XNY, meaning quality isn’t optional, it’s enforced through real consequences. For companies and clients building on top of the system, $XNY becomes the key that unlocks everything. It’s required to launch tasks, boost visibility, access datasets, increase usage limits, and even secure private environments for training and testing. Ownership itself is also tied to it, rights are minted, transferred, and enforced through $XNY, with royalties flowing automatically whenever that data is reused. And at the governance level, it goes even further. Decisions about curation, direction, and protocol evolution are shaped by those who hold and stake $XNY, weighted by both stake and reputation. So instead of being a speculative layer sitting on top of a system ...$XNY is the system. It’s what connects contribution, trust, access, ownership, and governance into one continuous loop. $XNY #Codatta #AI

One thing I find interesting about @0G_labs is not just the model size, but how they trained it. Their system reportedly achieved 357x communication efficiency compared to traditional methods, even on standard internet connections. That’s a big deal for accessibility. It means AI development might not need elite infrastructure anymore. Developers anywhere could potentially contribute to training large models without insane costs. That opens the door for more innovation, especially in regions that have been left out of the AI race for years.

Storage is only half the equation. @Permaweb_DAO ensures data is permanent and always accessible. @dgrid_ai complements it with the compute layer needed to process, scale, and deliver that data efficiently. Permanent storage meets scalable infrastructure. A stronger foundation

We all assume we’ll remember what mattered online… but we don’t. It slips away. Slowly. Quietly. Until it’s like it was never there. @permacastapp sees that problem. With @permacastapp, what matters can stick around and actually be found later.

Growth in onchain systems isn’t just about attracting activity… it’s about sustaining it without losing structure. OG Labs leans into this by focusing on how interactions can scale while still feeling coordinated where increasing usage doesn’t translate into disorder, but into stronger alignment over time. At the same time, Permacast approaches things from a different angle centering on the idea that what is created shouldn’t fade into noise, but remain consistently available and traceable. When systems can both expand efficiently and retain what matters beyond the present moment, they stop being just platforms… and start becoming foundations people can rely on. Because real progress isn’t only measured by how far things go — but by how well they continue to hold value over time.

Every interaction leaves a trace. OG Labs structures those traces so they connect, amplify, and retain clarity, even as volume rises. Permacast makes sure that once something is shared, it remains visible, retrievable, and meaningful, far beyond the moment it was created. When clarity and continuity converge, the work done today shapes what’s possible tomorrow. Here, impact is measured not by noise or speed — but by how well contributions endure and integrate.

@NiphemEmpire Sound bullish

Why USDD Focuses on Real Yield Instead of Hype High yields are easy to advertise. Sustaining them is where most systems fail. USDD takes a different route. Instead of relying on short-term incentives, it ties returns to actual activity within the ecosystem. That means yields are influenced by how capital is used, not just how it is distributed. When lending demand increases or liquidity is actively deployed, returns reflect that usage. It may not always be the loudest number in the market, but it is built to last. This approach removes the pressure to constantly inflate rewards just to attract attention. Instead, it focuses on keeping the system balanced so it can function over time. For users, that changes expectations. The goal is not chasing spikes, but participating in a structure where returns are supported and repeatable. USDD leans into that idea. Not every opportunity needs to be exaggerated to be valuable. Because in DeFi, consistency often matters more than intensity. #USDDGlobalfriends #USDDCreator @usddio @usddio_cn

@Arielessayshelp Absolutely

$4.25B locked and still flying under the radar… but it’s the people behind the network that make it thrive. Decentralized systems like BitTorrent aren’t just code they’re powered by peers around the world. Who keeps it running? □ People running nodes that verify and distribute data □ People testing tools and reporting issues □ People sharing fixes, asking questions, and improving the system together Every contribution matters. Developers write the code, nodes verify it, and communities help it evolve. Want to see this in action? Two official spaces are great starting points: ▫ Telegram (EN) – t.me/BTTBitTorrent ▫ BTFS Technical Community (Discord) – discord.gg/VmMjp2gvAB ✅ Running a node already contributes. ✅ Joining the conversation accelerates growth. You learn how the system works, stay updated on new developments, and connect with people building the future of decentralized infrastructure. Your node is already part of the network—maybe your voice should be too. Have you ever joined a Web3 community that actually helped you learn something new? Share your experience @BitTorrent @justinsuntron #TRONEcoStar

@lem_thro @BambitzRecords Interesting

For the last 2 weeks i have written tons of tweet about @BambitzRecords, but the time for basic tutorials is officially over. $BAM is the first music-powered token equipped with real, hard utility. This week is all about showing the timeline how our deflationary engine actually operates. In this thread i shall be sharing the blueprint, stick around to the end. 👇

@OgahSilas1 Exactly

River is pushing DeFi forward with true chain abstraction 🌊 With satUSD, you can collateralize assets on one chain and mint on another—unlocking cross-chain liquidity, yield, and leverage without friction. Scale smarter across ecosystems. Get started: app.river.inc/fun?ref=OgahSi… 👆

@Teeice_CZ Be positioned

From DeFi → SocialFi → InfoFi… now comes ActionFi—and it changes everything. Instead of earning from capital, attention, or content, ActionFi introduces a new model: earning from real, verifiable actions. This is how it works: Projects list out tasks (could be anything from using a tool, setting something up, or interacting with a product). You complete those tasks using the Action Model system, which tracks your workflow step-by-step and verifies that everything was done correctly, no screenshots, no fake claims, just proof-of-action. Once your work is confirmed → rewards are unlocked. But the deeper layer is where it gets interesting. Every action you complete doesn’t just earn you rewards it also helps train the underlying Large Action Model with high-quality, real user behavior. So instead of your data being extracted for free like in Web2, you’re now part of a system where: • Your actions have measurable value • Your work is transparently verified • And your contribution actually earns you something back ActionFi isn’t just another earning model… it’s a shift toward owning the value of your digital actions. Still early, so you might want to get in now before it gets crowded 👇 join.actionmodel.com/TEEICE

@Aristhegreat @Starknet Indeed

𝐏𝐑𝐈𝐕𝐀𝐂𝐘 𝐈𝐒 𝐓𝐇𝐄 𝐌𝐈𝐒𝐒𝐈𝐍𝐆 𝐋𝐀𝐘𝐄𝐑 𝐈𝐍 𝐖𝐄𝐁𝟑 𝐒𝐓𝐀𝐑𝐊𝐍𝐄𝐓 𝐈𝐒 𝐅𝐈𝐗𝐈𝐍𝐆 𝐈𝐓 Most blockchains today are transparent by default every transaction, every wallet, every move is visible. While that builds trust, it also exposes users in ways that limit real adoption. That’s where @Starknet steps in with Privacy Arc an initiative focused on bringing programmable privacy to the ecosystem. Instead of choosing between transparency and security, Privacy Arc introduces a new balance: users and developers can decide what data stays public and what remains private. Powered by zero knowledge proofs, it enables verification without exposure a key breakthrough for scaling real-world use cases on-chain. This isn’t just an upgrade. It’s a shift toward a more usable, secure, and adoption ready Web3.

@Idris_Adamz @PerleLabs Absolutely

After digging into @PerleLabs, it’s clear they’re building a sovereign ai data layer powered by real human experts, and full provenance, no more synthetic noise, just trust. $PRL aligns incentives for quality. #perleai #toperle Participating in @PerleLabs community campaign