SUI (SUI)

SUI RANKED #3 SPOT IN NON-EVM DEFI TVL 📈 Current List: $SOL: $8.89B $BTC: $6.66B $SUI: $915M $APT: $452M $SEI: $216M $ADA: $200M @SuiNetwork now ranks third, sitting behind only Solana and Bitcoin. It's also 4.5x ahead of @Cardano in DeFI TVL 👀 This growth reflects increasing trust and steady inflow into its DeFi stack TVL is a direct read on usage and capital commitment $SUI is expanding while others remain flat

🧲Ferra Point System ⁉️ What most DEXes frequently do, @ferra_protocol is also doing. It's called the Ferra Point System v2. The way to earn points is simple. - Swaps and providing liquidity - Participating in Kaïto campaigns - Completing quests (social quests, daily check‑ins, etc.) For staking, the current most powerful boost is the SUI‑USDC pool with a 3× boosting effect. By following the link below, you can also complete social quests and more. The areas where money is spent should be judged individually. Various quests are not difficult, so we recommend giving them a try. Will it work?? Ferra!! But even on the day after onboarding, the leaderboard hasn't changed; I'm not sure what's going on.

They’ve been explaining how natural-language interfaces are quietly becoming one of the biggest upgrades in Web3 usability Instead of forcing people to understand - wallet strings - contract calls - or parameter settings, users can simply type what they want in plain English, almost like talking to a ChatGPT-style terminal Imagine someone saying, “Give me a low-risk yield strategy with weekly liquidity,” and the system translates that into real DeFi actions Or an NFT collector typing, “Show me abstract artists trending this week” It removes friction, reduces mistakes, and makes blockchain feel human instead of technical But the real shift goes even deeper Language models aren’t just improving UI, they’re enabling features we’ve never had Index Network is a good example: they’re using @OpenGradient SDK for AI agents and embeddings for semantic search Building a discovery protocol that recommends apps, creators, and experiences based on a user’s interests In short, natural-language interaction isn’t

Privacy-protecting machine-to-human financial layer integration analysis: @Zcash × @peaq × @useTria 1. Introduction The concept of linking Zcash, peaq, and Tria into a single flow is very interesting. Machines earn revenue on peaq, that revenue is settled privately through Zcash, and finally it flows through Tria into the card/legal-currency structure that humans use daily. The idea itself is natural, but because the design philosophies and regulatory environments of the three systems differ, the integration process faces several challenges. 2. peaq's machine-centric architecture peaq grants machines DID and VC, allowing them to act as independent economic entities. When a machine provides a service it receives token rewards and can earn additional income through an incentive pool. However, this process is fundamentally transparent, potentially exposing a machine's location or activity patterns more than necessary. Zcash's shielded payments are suitable for mitigating this weakness. 3. Possibility of combining Zcash shielded payments Zcash can hide transaction details while still proving validity. If machine earnings are processed in a Zcash shielded pool, external observers find it difficult to know “who earned how much,” and selective disclosure enables providing information only when needed. Yet there is no minimal-trust bridge between peaq and Zcash, and their state-verification methods differ, so actual integration requires separate proof/bridge infrastructure. 4. Tria's chain abstraction and regulatory issues Tria treats multiple chains as one financial environment and offers a neo-bank UX that even connects to cards. However, because it is compliance-focused, it cannot simply allow fully shielded sources of funds. Consequently, for Zcash shielded assets to enter Tria, some transparency must be restored. Here, Zcash's strong privacy clashes with Tria's regulatory requirements. 5. Sybil and abuse risks Machine economies are inherently vulnerable to Sybil attacks. Creating multiple fake machines to obtain rewards is a typical example. When Zcash shielding is added, the reward

💧 Most people sleep on @SuiNetwork until they see what 100+ projects are actually building! The ecosystem expanded 3x in the past 6 months using the Sui Tech Stack, and most people have never seen these projects in their timeline. From liquid staking earning double-digit APR to fully on-chain games with real economies, this is your complete starting point. Here's the complete map of what's actually live now. Save this 👇

AMA Inside Sui Bootcamp Indonesia: Builders On Bootcamp Friday, December 12, 2025 Time 20:00 WIB on the Sui Indonesia Community Twitter account Host By: @voyxvirgo, @maxone_lens, @Moving_03 (Sui Indonesia Team) Guest Star: @new_blockhash (Scallop Core Dev) Curious about the activities during the Bootcamp? How to Build on Sui? and What experiences do participants gain during the Bootcamp? Prepare your questions, everything will be discussed thoroughly this time. Mark the schedule, make sure you don’t miss it. @SuiNetwork @SuiFoundation @SuiCommunity @richie_binance @AntoineBlanc @jjonlydown @mosaicregressor #Sui #MoveOnSui #BuildOnSui #SuiBootcamp #SuiIndonesiaBootcamp2025