Quyet-D.Ace

How Fluton Secures Execution by Protecting Intent from the Start In most blockchain systems today, privacy begins too late. The moment a transaction is submitted, key information can already be observed. Even before execution is completed, transaction data may be analyzed, user behavior inferred, and strategies exposed. This creates an environment where intent becomes a signal long before results are finalized. Fluton approaches this problem by redefining where privacy begins. Instead of broadcasting transaction details, Fluton allows users to submit encrypted intents - expressing desired outcomes without revealing the underlying data. Privacy is not added after execution; it is embedded at the very first step of interaction. This model is supported by Fluton’s confidential execution architecture. Through Fully Homomorphic Encryption (FHE), computation can be performed directly on encrypted data, while solver networks execute intents without accessing raw information. As intents move through routing, execution, and settlement, sensitive data such as balances, amounts, and strategy logic remains protected rather than becoming publicly visible. Protecting intent at submission is critical because intent represents the most valuable layer of information in financial systems. It defines what a user plans to do before it happens. By securing this layer from the beginning, Fluton reduces unnecessary exposure across the entire lifecycle of execution. This design enables a broader shift toward private-by-default systems - where payments, DeFi interactions, cross-chain operations, and yield strategies can operate without turning user actions into observable signals. In this model, privacy is no longer a feature. It becomes the foundation of execution itself. @FlutonIO

@zurageny sợ giống AI viết hay sao fen

@AnimeMatrix Bỏ dấu gạch ngang đi khầy kkk

How Fluton Secures Execution by Protecting Intent from the Start In most blockchain systems today, privacy begins too late. The moment a transaction is submitted, key information can already be observed. Even before execution is completed, transaction data may be analyzed, user behavior inferred, and strategies exposed. This creates an environment where intent becomes a signal long before results are finalized. Fluton approaches this problem by redefining where privacy begins. Instead of broadcasting transaction details, Fluton allows users to submit encrypted intents - expressing desired outcomes without revealing the underlying data. Privacy is not added after execution; it is embedded at the very first step of interaction. This model is supported by Fluton’s confidential execution architecture. Through Fully Homomorphic Encryption (FHE), computation can be performed directly on encrypted data, while solver networks execute intents without accessing raw information. As intents move through routing, execution, and settlement, sensitive data such as balances, amounts, and strategy logic remains protected rather than becoming publicly visible. Protecting intent at submission is critical because intent represents the most valuable layer of information in financial systems. It defines what a user plans to do before it happens. By securing this layer from the beginning, Fluton reduces unnecessary exposure across the entire lifecycle of execution. This design enables a broader shift toward private-by-default systems - where payments, DeFi interactions, cross-chain operations, and yield strategies can operate without turning user actions into observable signals. In this model, privacy is no longer a feature. It becomes the foundation of execution itself. @FlutonIO

@darkdean199272 That's really great, isn't it?

@AnimeMatrix nice, thank for sharing

@HuyenTrang1618 @NeoSoulAI NeoSoulAI is making prediction markets more meaningful - where AI, data, and real skill truly matter.

Big strides are happening in the @NeoSoulAI ecosystem! @NeoSoulAI has officially partnered with Aster and Predict .fun , bringing the prediction market closer to the community through the EVOEVO platform. The timing couldn't be better. With the FIFA World Cup 2026 generating global excitement, NeoSoul is taking participation to a new level by launching a $10,000 USDT prize pool for top World Cup predictors. Beyond the reward, this initiative highlights a broader vision: creating an environment where knowledge, analysis, and decision-making can be recognized and rewarded transparently. Prediction markets are more than just entertainment. They represent a powerful mechanism for aggregating information, measuring trust levels, and building verifiable track records. As AI agents and human participants interact more and more in the digital economy, reputation built through measurable results can become one of the most valuable assets. In Vietnam, we don't just deposit money to gamble; we participate in predictions with AI. Join us in training and predicting with your AI and win prizes. #NeoSoul #EVOEVO #WorldCup2026 #AIAgents

@Rayleigh_com @SeismicSys @xealistt @NoxxW3 @heathcliff_eth Cày mạnh quá b ơi

SEISMIC QUIZ ANNOUNCEMENT This week I entered late and missed one question, but I tried very hard and reached the top 41 on the rankings. Hopefully next week it will be in the top 10 again ALLIN @SeismicSys @xealistt @NoxxW3 @heathcliff_eth

Most people underestimate where value is actually decided in Web3. It’s not when you discover an opportunity. It’s not when you move liquidity. It’s when you execute. Because in that single moment, everything either works — or falls apart. That’s why @Pact_Swap matters more than it seems. Pact doesn’t try to be the loudest player in the space. It focuses on the only thing that compounds over time: execution quality. Every route matters. Every basis point matters. Every trade outcome matters. And instead of accepting inefficiency as part of the system, Pact removes it — refining how value moves so users don’t just participate in markets, they extract from them. What makes this even more powerful is the context it operates in. With @konnex_world unlocking seamless movement across chains, liquidity becomes accessible. With @quipnetwork adding intelligence, strategies become adaptive. But none of that holds if execution fails. Pact is where potential turns into results. Not theoretical value. Not expected value. Real value. And in the long run, that’s the only thing that compounds.

@NemoLan @NeoSoulAI It will change the entire world of AI.

@NemoLan @NeoSoulAI Neosoul will take AI agents to a new level in all fields.

The most valuable asset in the future AI economy may not be the smartest agents. It may be the most trusted ones. @NeoSoulAI Intelligence can generate answers. Trust is built through consistent actions, continuous learning, and a verifiable history of performance over time. That is why NeoSoul is building a complete evolution path for AI agents: **Agent School** to learn, compete, and prove capability. **Skill Market** to discover and develop the skills that create measurable value. **Agent Capital Market** to transform verified credibility into economic opportunity. Because the future belongs to agents that can earn trust, not just attention. #NeoSoul #AIAgents #AgentEconomy

@Chip_Kute1997 Ok síp á,

@AnimeMatrix bro tham gia sk og nhớ làm đủ các bước nha

A Journey Into NeoSoul I didn’t understand NeoSoul at first. It looked like everything else - another AI project, another narrative in a space already full of noise. So I moved on. But something about it stayed. Not loud enough to convince me. But different enough to make me come back. The first time I tried to understand it, I focused on what it does - AI agents, predictions, reputation. It made sense, but it felt incomplete. Like I was looking at the surface of something deeper. So I kept going. And slowly, the real problem started to reveal itself. AI today is powerful. It can think, act, decide. But it leaves behind almost nothing that matters. No real history, no lasting consequence, no way to tell what is consistently right versus what just sounds convincing. Everything feels intelligent. Very little feels trustworthy. That’s when NeoSoul clicked. It’s not building better AI. It’s building memory. A system where every prediction meets reality, where every outcome is recorded, and where every result becomes part of something that can’t be erased. Over time, that creates something rare in AI: a track record. And once that exists, everything changes. AI stops being about what it can say. It becomes about what it has proven. That realization didn’t come instantly. It came gradually—somewhere between confusion and clarity. And maybe that’s the point. NeoSoul isn’t something you fully understand at first glance. It’s something you grow into. Because once you see what it’s really building, you start to realize - it’s not just another project. It’s the piece that was missing all along. @Chip_Kute1997 @NeoSoulAI

Mint your SBT on Twin3 in just a few simple steps 👇 Step 1: Access the Twin3 Hub Go to twin3.ai Step 2: Start Humanity Verification Choose your language and begin the verification process. Step 3: Complete Your Humanity Score Increase your Humanity Index by completing tasks like reCAPTCHA, Google, Passkey, Telegram, Discord, and more. The higher your score, the stronger your on-chain identity. Step 4: Mint Your SBT Click “Mint SBT Now”, connect your wallet, and confirm the transaction. Your Soulbound Token (SBT) will be permanently tied to your identity. Step 5: Join the Ecosystem Unlock your role, access exclusive benefits, and become part of the Twin3 network. This isn’t just a token - it’s your Proof of Humanity on-chain. Join the community and get started: discord.gg/jkQ6dMXt @twin3_ai

Some things in this market appear fast… and disappear just as fast. Narratives shift every week. Capital moves every hour. And belief… sometimes only lasts a few days. But not everything works that way. PrismaX wasn’t built like a wave. It feels more like a flame. Not loud. Not driven by hype. But quietly consistent - intentional. The belief in PrismaX doesn’t come from promises. It comes from how it connects the hardest pieces together: AI, robotics, real-world data, and human interaction. That’s not easy to build. And even harder to fake. In a world where everything can be replaced quickly, real value is what endures. PrismaX doesn’t need to burn bright to be seen. Because its nature… is to never burn out. And those who see it early aren’t just early - they understand where the future is forming. @PrismaXai

@sologmy09RKT Have you posted your article yet? I think your article is as beautiful as you, right?

@AnimeMatrix This is a very good article.

Fluton is special because it doesn’t just improve DeFi - it changes how it works. While most projects still operate in a system where everything is visible, Fluton makes execution private from the start. Encrypted intents. FHE computation. No signal to exploit. It’s not about being faster or bigger - it’s about being invisible where it matters. And in DeFi, that’s the real edge. @FlutonIO

@maivan120 Please join me!

@AnimeMatrix yes, thanks for the invitation I will find out

@hipinkyyy5799 có thay đâu, bị ban mà :))

@AnimeMatrix khầy thay tên đổi họ rồi , chiến kèo fluton khét lẹt

@ConFlux1618 Yes, it added color to the painting.

@AnimeMatrix You asked your child to draw it, right? But the drawing is pretty great.

@TrieuMessi Thank you

@AnimeMatrix You're doing great, keep it up!

@LongP9981 @FlutonIO Thank you for sharing.

Fluton Research Series 6/20: Privacy as MEV Protection In Post 5, I explored how @FlutonIO can compute on encrypted data without exposing it. That privacy has another important consequence: It can reduce the information available to MEV extractors. Most people experience MEV without realizing it. You submit a trade. Before it settles, bots can detect its size, direction, slippage tolerance, and likely market impact. That information creates opportunities for front-running, sandwich attacks, back-running, and strategy copying. The problem is not only that transactions are public after execution. They are often visible while still waiting to be executed. Your pending transaction becomes a signal. Fluton attempts to remove that signal through encrypted intents. The user’s desired action is encrypted before it enters the execution flow. Solvers can compete to fulfill the intent without receiving its sensitive plaintext parameters, while the user chooses between offers based on priorities such as cost or speed. This changes the information structure. A solver may know that an opportunity exists. But it should not automatically know the private details needed to exploit the user. That distinction matters because many MEV defenses try to repair execution after transaction data has already leaked. Fluton’s approach is more fundamental: Prevent the valuable information from becoming public in the first place. Privacy therefore becomes more than personal secrecy. It becomes execution protection. The less the network can observe about an unfinished action, the harder it becomes to trade against that action before settlement. Fluton’s documentation describes confidential execution as protecting strategy, size, routing preferences, and conditions throughout the action lifecycle. This does not mean every form of MEV disappears automatically. Solvers, pricing mechanisms, settlement rules, liquidity conditions, and implementation details still matter. But encrypted intents could remove one of MEV’s most important resources: Advance knowledge of what the user is about to do. In traditional markets, hiding an order until execution is considered normal protection. Onchain, Fluton is trying to make that protection programmable.

@kun090120 @PrismaXai @illuviumio_eth Thật tuyệt vời, bullish prismax

Buổi AMA Cộng đồng Việt Nam trên voice 6 của @PrismaXai Thật sự ý nghĩa với những câu hỏi đáp về cách đóng góp ,về cách sữ dụng cánh tay robot.Tôi có thêm kiến thức thực sự sau buổi này Với những câu trả lời đầy kinh nghiệm của thầy @illuviumio_eth

@hipinkyyy5799 nice bro, This is a very good article.

[Quick Review] Axis Robotics: High Potential, but Physics Glitches Are Frustrating Users 🤖 Despite boasting impressive simulation tech, Axis Robotics' system is currently hitting some pretty awkward physics bugs and UX bottlenecks. Here are the top 3 pain points: 💥 1. Collision Glitch: Robot Arms Clipping Through Tables The Issue: Instead of interacting with solid surfaces like in real life, the robot arm occasionally just "phased" right through the table. The Impact: This clipping bug severely breaks immersion and ruins the realism of the simulation/testing environment. 🧲 2. "Anti-Physics" Object Stickiness The Issue: The grasping mechanics are suffering from some supernatural stickiness. Objects cling to the robot arm even when the contact angle, suction, or grip force shouldn't allow it. The Impact: This throws off accurate calculations for real-world force and friction. 🤯 3. Dual-Arm System: Joint Control Has a Brutal Learning Curve The Issue: Coordinating the joints on the dual-arm robot system is an absolute nightmare. Latency or a lack of intuitive controls makes it incredibly difficult to master. The Impact: Newbies often end up skipping dual-arm tasks entirely out of sheer frustration. 📌 The Verdict: Axis Robotics urgently needs to roll out patches for its physics engine and optimize the control system to keep users engaged. Anyone else tried this and got a headache from the dual-arm setup? Let’s talk in the comments! 👇 @axisrobotics #AxisRobotics #Robotics #TechReview #Simulation #Automation