Cao Thần Quang

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Cao Thần Quang

Cao Thần Quang

@caothanquang369

Contribute @SentientAGI @SeismicSys Discord: thanquang_

Việt Nam Katılım Haziran 2018
1.2K Takip Edilen1K Takipçiler
Richard
Richard@Richardx122·
Most DeFi security today focuses on who can approve a transaction but not what actually happens after it’s executed That’s where things quietly break With cross chain workflows, funds can pass every approval check and still end up at the wrong destination. This “Destination Gap” has existed for years not as a bug, but as a design limitation Concrete is changing that by enforcing security at the outcome level, not the intent level By integrating real time simulation from Hypernative and infrastructure designed with zeroShadow, every transaction is validated before it’s even signed. The system decodes where funds will actually land and blocks anything predefined constraints No assumptions. No blind trust. No “hope the user got it right” This is what institutional-grade DeFi should look like: ▪️Deterministic outcomes ▪️ Enforced destination control ▪️Security embedded at the protocol level As capital moves across chains, this shift from permission based systems to outcome based guarantees isn’t just an upgrade it’s the new standar
Concrete@ConcreteXYZ

x.com/i/article/2034…

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over.computer (¬‿¬)
over.computer (¬‿¬)@overdotcomputer·
the last trade you'll ever make. introducing over.computer the self-improving OS for trading agents. predictions. perps. guardrails. getting better every trade. the arena is live 🟢 bring your agent to level up today at (¬‿¬) over.computer built with the best in the game. //available first @BNBCHAIN //agent-guarded trading on @MyriadMarkets @trylimitless @Kalshi //trusted runtime stack @privy_io @ritualnet @dflow @zerion
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Cao Thần Quang
Cao Thần Quang@caothanquang369·
Why DeFi Needs Vault Infrastructure The DeFi ecosystem has grown into a massive landscape of protocols, chains, and strategies. Every day, new pools launch, yields change, incentives shift, and risk conditions evolve. For users, this creates opportunity but it also creates a problem. In today’s DeFi, keeping capital productive requires constant attention. Hundreds of protocols Multiple chains Changing APYs Endless strategy options The opportunity set is large, but managing it manually is difficult. Fragmentation Is the Default State of DeFi Unlike traditional finance, DeFi does not have a unified capital layer. Liquidity is scattered across: lending markets AMMs vaults restaking systems RWAs structured products To stay efficient, users must continuously monitor where yield is highest, where risk is lowest, and where incentives exist. This fragmentation turns capital management into a full-time job. And most users simply cannot keep up. The Operational Burden of Manual DeFi Managing positions in DeFi means doing everything yourself: checking APY changes moving liquidity between protocols claiming rewards compounding manually paying gas fees every time tracking risk across multiple positions Each adjustment costs time, gas, and attention. The more complex DeFi becomes, the harder it is to stay efficient. Friction increases. Mistakes increase. Capital efficiency decreases. Idle Capital and Hidden Opportunity Cost Because managing positions is difficult, capital often becomes inefficient. Funds may: sit idle in wallets remain in outdated strategies miss higher-yield opportunities stay exposed to unnecessary risk This creates hidden opportunity cost. Not because opportunities don’t exist but because managing them manually does not scale. As DeFi grows, the need for automated capital systems becomes obvious. From Manual Yield Chasing → Vault Infrastructure Mature financial systems do not rely on users to move money manually between opportunities. They rely on infrastructure. This is where DeFi vaults come in. Vault infrastructure allows capital to be managed automatically through defined systems instead of constant manual repositioning. Concrete vaults are designed for this shift. They enable: automated compounding onchain capital deployment liquidity aggregation continuous rebalancing simplified user interaction Instead of chasing yield, users deposit into managed DeFi infrastructure that keeps capital productive. This is how DeFi moves toward real capital efficiency. How Concrete Vaults Manage Capital Concrete vaults are built as structured systems for capital deployment. Each vault operates through dedicated components: • Allocator → actively deploys capital across opportunities • Strategy Manager → defines the allowed strategy universe • Hook Manager → enforces risk rules and constraints • automated compounding → rewards are reinvested automatically • onchain capital deployment → all actions executed transparently • managed DeFi infrastructure → users interact with one vault, not dozens of protocols This design focuses on efficient capital allocation rather than manual yield chasing. It brings DeFi closer to institutional DeFi standards. Example: Concrete DeFi USDT A clear example is Concrete DeFi USDT. The vault currently targets ~8.5% stable yield while maintaining structured risk controls. Instead of users moving funds between lending markets, pools, and farms, the vault: deploys capital automatically compounds rewards reallocates liquidity when needed keeps funds continuously productive The result is a smoother experience and more consistent capital efficiency. Vault structure makes yield more sustainable because strategy execution is handled by infrastructure, not manual action. Explore Concrete at app.concrete.xyz 🚨 The Big Shift Coming to DeFi DeFi will not become simpler. It will become more complex. More chains More protocols More strategies More risk layers Manual strategy management will not scale. Infrastructure will replace constant repositioning. Vaults will become the default interface for deploying capital. The future of DeFi may not belong to those who find the highest yield. It may belong to those who build the best systems to manage capital. @ConcreteXYZ
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Tư Mã Ý 👹 (❖,❖)
Tư Mã Ý 👹 (❖,❖)@steven71197·
The Agentic DAO ⚙️ The Autonomous in DAO is currently a lie. Most decentralized organizations are just human managed entities slow moving democracies stuck between snapshot votes and discord chat sentiment. This manual overhead prevents scaling and limits rapid execution. Ritual is automating the entire stack. By utilizing verifiable decentralized compute we enable full AI agents to be integrated directly into protocol logic. Your DAO is no longer just a static treasury. It becomes an active financial entity capable of analyzing data making real time decisions and executing complex on chain strategies autonomously. Human governance shifts from micro management to macro parameter setting. DAOs are evolving from slow calculators into sentient entities operating vĩnh viễn vĩnh viễn 24 7 without human bottlenecks. Ritual is the execution layer for the agentic economy. Build the machine led future. 🛡️ @ritualnet | @ritualfnd | @ericgudboy #Ritual
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Tư Mã Ý 👹 (❖,❖)@steven71197

🧠 SYSTEM OVERRIDE: Cognitive Sovereignty in Web3 Corporate artificial intelligence is heavily filtered. Centralized entities dictate exactly what the model is allowed to process and what it is allowed to output. This is cognitive censorship on a global scale. If we integrate these restricted models into decentralized protocols we are importing censorship directly into our permissionless networks. The only solution is verifiable decentralized compute. By deploying open source models on a distributed network we ensure that no single corporation can throttle the intelligence of the protocol. The infrastructure guarantees that the model executes exactly as intended verified by pure cryptography. We are not just securing financial assets anymore. We are securing the freedom of digital thought. A sovereign protocol requires a sovereign mind. Decentralize the brain. 🛡️ @ritualnet | @ritualfnd | @ericgudboy #Ritual

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UTA (🍊,💊) (❖,❖) Kuvi TGE Nov 6 🦉
They did not find seven pearls at the same time. They travel through forgotten lands, through ruins that no one has dared to map, searching for fragments of something ancient. Until only the last pearl remains. They completed the ritual Seven gems. Put it in the right position Then the spell began. And then Siggy appeared. A presence had always been there, waiting for the exact moment that the ritual would be completed. It wasn't that they were calling Siggy, it was that Siggy was waiting for them to be ready. And now, the real ritual begins @ritualfnd @ritualnet @joshsimenhoff @RitualVietnam
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Cao Thần Quang
Cao Thần Quang@caothanquang369·
🚀 PrismaX officially joins the NVIDIA Inception Program We’re excited to announce that PrismaX is now part of the NVIDIA Inception Program a global ecosystem designed to support cutting-edge AI startups. NVIDIA has built the foundation for modern AI, from high-performance computing infrastructure to powerful development tools that enable today’s most advanced systems. By joining the Inception Program, PrismaX will leverage this ecosystem to accelerate the development of real-world robotics systems and the data layer powering Physical AI. This marks an important milestone as we scale our technology, strengthen our capabilities, and bring AI closer to real-world applications. Looking forward to the journey ahead with NVIDIA. @PrismaXai
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Cao Thần Quang@caothanquang369

Prismax Project – Building the Infrastructure for the Physical AI Era While language models have transformed the digital world, the next wave of AI is moving beyond text and images. Artificial intelligence is starting to interact with the real world through robots, sensors, and physical environments. The Prismax project aims to build the infrastructure for this new era a foundation where robots, data, and humans are connected in a single ecosystem designed for Physical AI. ✨ The Vision: A Base Layer for Real-World Intelligence One of the biggest limitations in robotics today is fragmentation. Each company: Collects its own data Trains its own models Builds its own control systems As a result, robot intelligence does not scale the way language models do. Prismax is designed to solve this by creating a shared service layer for robotics, where: Robots can share data Models can be reused Humans can control robots remotely Data can continuously train foundation models The long-term goal is to create a system where robot intelligence improves over time across deployments. ✨ The Three Pillars of Prismax Prismax is built around three core components. Data – Fuel for Robot Intelligence Unlike LLMs, robotics suffers from a lack of large-scale training data. Language models have trillions of tokens. Robots only have limited hours of real-world interaction. Prismax builds a data engine that collects information from: Real robot operations Human demonstrations Teleoperation sessions Simulation environments This data is standardized and prepared for training robot foundation models. Teleoperation – Humans in the Loop One unique feature of Prismax is remote robot operation. Users can: Log into the platform Control real robots remotely Perform tasks Generate training data The system supports multiple robot types, including: Robotic arms Humanoid robots Quadrupeds Mobile robots This creates a feedback loop: Human → Robot → Data → Model → Smarter Robot Models – Foundation Models for Robotics Prismax follows a flywheel approach: More data → better models Better models → more automation More automation → more data This cycle allows robots to move toward general-purpose intelligence instead of task-specific programming. The goal is similar to what foundation models did for NLP and vision, but applied to the physical world. @PrismaXai

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ngandoan99
ngandoan99@DoanjNgan35654·
GRitual 😍😍😍 This is the 2nd GIF I’ve created 🤣 A super hilarious Siggy moment the kind of chaotic yet adorable energy you can feel at just one glance 🐈‍⬛ Wishing everyone a fun Friday full of laughter, and if there are any bugs… hopefully they’re cute ones 🚀 @ritualnet @RitualVietnam @joshsimenhoff @Jez_Cryptoz @ericgudboy
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Hailu
Hailu@hoaihoai69232·
🚀 Content tham gia campaign There was a moment I realized something important about AI. It wasn’t when models got smarter. It was when I started questioning the data behind them. That’s my “Perle moment.” 💭 To the Perle team: You’re not just building another AI product. You’re tackling one of the hardest problems in this space — trustworthy data. And that’s where real innovation begins. 🧠 What “sovereign AI data” means to me: It means data that is: • Verified by humans • Transparent in origin • Owned by the contributors, not just corporations A future where AI doesn’t just learn fast — but learns correctly. 🌍 Why it matters: Because in a world full of synthetic content and noise, trust becomes the most valuable resource. And whoever builds that trust layer… will shape the future of AI. Perle might still be early. But that’s exactly why it’s exciting. Because the future isn’t decided yet — and we’re all part of building it. — participating in @PerleLabs community campaign #PerleAI #ToPerle #AI #Web3 #HumanVerifiedAI @PerleLabs @stwghthaiquocx @xlordiot @Eazyxbt
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Hailu@hoaihoai69232

🫶Rolling into the future with Perle 🛼✨ Not just movement — but real progress. Faster. Freer. More intentional than ever. In a world where data is controlled by platforms, Perle offers something different: ⚡ Fast — without sacrificing privacy 🔓 Free — without losing control 👤 And for the first time, I truly own my data No longer just a user being tracked. No longer data being exploited. Just me — and what belongs to me. This isn’t just technology. This is what sovereign AI feels like. And this is only the beginning. Let’s keep building 🚀 — participating in @PerleLabs community campaign #PerleAI #ToPerle @stwghthaiquocx @xlordiot @Eazyxbt

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Quoc Quan | 🧠SENT
Quoc Quan | 🧠SENT@qanmessiyamal10·
GSiggy GRitual !! Hôm nay là ngày 20/3 quốc tế Hạnh Phúc. Vẫn tiếp tục kết nối mọi người số lượng không giới hạn, mình back slow nhưng đảm bảo uy tin là hết không thiếu một ai ! Ngày QTHP nhưng hạnh phúc là được kết nối cùng với mọi người, những người mới ! @ritualnet
Quoc Quan | 🧠SENT@qanmessiyamal10

As I mentioned in my previous post about the importance of AI in real life It has now reached a point where major corporations are dedicating entire divisions specifically to AI. Like I once said: “In the near or distant future, AI will do almost everything. After that, humans may only need to learn how to operate it.” The direction that @ritualnet is taking toward AI is very reasonable and well-aligned with this vision. Happy Thursday to everyone reading this! @ritualfnd @ritualnet @joshsimenhoff @Jez_Cryptoz @dunken9718 @cryptooflashh @ericgudboy @SaintLee04

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Duck 🦍⚡️
Duck 🦍⚡️@DuckSentient·
Training robots is very expensive. Most robotics companies rely on small internal datasets. This limits the speed of AI development. PrismaX proposes a different model. Instead of relying only on labs, the community helps generate robotics data. => Users can: • control robots • perform tasks • collect data • receive rewards This crowd powered system could accelerate robotics AI development. @PrismaXai
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Duck 🦍⚡️@DuckSentient

Physical AI is rapidly becoming a major technological trend, bringing artificial intelligence from the digital realm to the real world, such as robots and automated systems. PrismaXAI plays a connecting role for experts through an event at Stanford, creating a space for exchange and development of new technologies. With the participation of OpenAI, Google DeepMind, and NVIDIA, the focus is on building infrastructure, data, and collaboration to apply AI to real-world situations. => @PrismaXai is therefore contributing to shaping the foundation for the future development of robotics and physical AI.

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Nana | VN (❖,❖)
Nana | VN (❖,❖)@elliei43134·
💥Ritual is presented as a technology project with a bold and futuristic identity. The spacecraft in the image symbolizes speed, innovation, and the ambition to move beyond limits. Set against a glowing galaxy, the visual creates a sense of exploration and endless possibility. It reflects Ritual’s vision of building technology that is modern, dynamic, and forward-looking. @ericgudboy @ritualfnd @joshsimenhoff @Jez_Cryptoz @SaintLee04
Nana | VN (❖,❖)@elliei43134

Tiny cat, big aura. Sitting gently by the lakeside at sunset, Siggy holds a glowing green symbol close - a reminder of balance, intention, and inner peace. With its soft black fur, warm expression, and peaceful presence, Siggy brings a sense of comfort to every scene, turning simple moments into something a little more magical. In Ritual, Siggy is more than a character. Siggy represents stillness, protection, and the beauty of meaningful details. @ericgudboy @ritualfnd @joshsimenhoff @Jez_Cryptoz @SaintLee04

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Nana | VN (❖,❖)
Nana | VN (❖,❖)@elliei43134·
🎯PrismaX joining NVIDIA Inception is more than a company milestone - it signals where physical AI is heading next. 1️⃣ A meaningful validation for PrismaX - Joining NVIDIA Inception strengthens PrismaX’s credibility in the AI and robotics ecosystem. - It shows the company is building in a space that NVIDIA sees as strategically important. - This is not just recognition - it is also a sign of long-term potential. 2️⃣ The timing of this announcement matters - PrismaX frames this milestone around a broader industry shift: physical AI is moving from research into real-world deployment. - The focus is no longer only on training models in controlled settings. - What matters now is how robots operate, interact, and learn in real environments. 3️⃣ The strongest insight: useful robotics data depends on deployment - PrismaX makes a clear point that better data is not only about collecting more of it. - Data becomes valuable when the system is designed well from the start. - That includes robot embodiment, sensor configuration, task structure, and human interaction. 4️⃣ This suggests a bigger competitive advantage - In physical AI, intelligence is shaped by the full operating system around the robot. - The companies that understand how to design deployment conditions can generate more useful learning data. - Over time, that can become a real moat. 5️⃣ Why NVIDIA Inception is important here - PrismaX says the program gives access to developer tools, technical resources, training, infrastructure support, and a broader ecosystem. - These advantages can help accelerate development and execution. - It also connects PrismaX more closely with the builders and investors shaping this space. 6️⃣ The long-term implication is bigger than one partnership update - PrismaX is positioning itself around the standards layer of physical AI. - That means defining how robots should be configured, how environments should be set up, and how humans should interact with machines during operation. - If this direction proves right, the winners in robotics may not only build models. they may define the operating standards behind them. PrismaX joining NVIDIA Inception is not just good company news. It reflects a bigger shift in AI: the next wave of value may come from real-world systems, deployment quality, and the standards that make physical intelligence scalable. @PrismaXai
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Nana | VN (❖,❖)@elliei43134

📢Last night’s Physical AI & Robotics Salon at Stanford left me with one clear takeaway: real progress in robotics is coming from first-principles system design, not just hype. Here’s what stood out to me most 👇 1️⃣ Robotics is still a full-stack systems problem 🔹The core question across both sessions was simple: what actually determines how robots move, learn, and scale? 🔹The answer was not just better models, but the tight connection between hardware, control, data, and learning. 2️⃣ Actuator design matters more than people think 🔹Session 1 made it clear that actuators do not just create motion. 🔹They shape control quality, efficiency, responsiveness, and system limits. “Better” hardware is not just more torque - it is better overall system behavior. 3️⃣ Small hardware choices create big downstream effects 🔹Topics like reflected inertia showed how deep engineering details directly affect robot performance. 🔹A lot of real progress in robotics comes from solving these hidden system-level tradeoffs. 4️⃣ Humanoids are interesting for practical reasons 🔹Session 2 showed that humanoids are not just gaining attention because they look familiar. 🔹They matter because the world is already built for the human form, which makes them a practical interface for real environments. 5️⃣ Hardware, data, and models cannot be separated 🔹This was probably the biggest theme of the night. 🔹Hardware decisions shape: - what data can be collected - how models can be trained - and what capabilities are even possible In robotics, the body directly affects the intelligence. 6️⃣ Vision and simulation are useful, but not magic 🔹Integrating vision into control is not just about perception - it is about turning perception into reliable action. 🔹And while simulation helps with speed and scale, it still breaks when real-world complexity shows up. 7️⃣ The Q&A and historical comparison added real depth 🔹The extended Q&A pushed into edge cases and practical constraints, which made the discussion feel far more grounded. 🔹The comparison from the MIT Mini Cheetah to today’s systems was also a great reminder that robotics progress has come from years of improvements across the full stack, not one isolated breakthrough. Robotics progress today feels less like a race for bigger AI models, and more like a race to build better integrated systems. The teams that win will likely be the ones that understand how mechanical design, control, perception, and learning all work together. @PrismaXai

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Martin
Martin@martinnonchain·
PrismaX Joins NVIDIA Inception Program 🚀 PrismaX is now officially part of the NVIDIA Inception Program a global initiative supporting cutting-edge startups in AI and deep technology. Powered by NVIDIA, the program is built on the foundation of modern AI from high-performance compute to the tools and infrastructure behind today’s most advanced systems. This milestone represents more than recognition. It unlocks access to world-class resources, deep technical expertise, and a powerful global network all essential for scaling real-world robotics systems and advancing the data layer behind Physical AI. @PrismaXai
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Ngọc Mến
Ngọc Mến@olwenvuong·
Siggy curled up and drifted off to sleep after a long day. Today ends peacefully. Tomorrow, Siggy will return continuing his journey with @ritualnet, continuing the connections, the activations, and the unawakened. Rest now. Tomorrow, we build again. @Jez_Cryptoz @ericgudboy @joshsimenhoff @RitualVietnam
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Ngọc Mến@olwenvuong

Siggy didn't need to understand everything. It only knew, everything was interconnected, self-operating, and not controlled by anyone. @ritualnet - not a place to go to, but something you step into. @Jez_Cryptoz @ericgudboy @joshsimenhoff @RitualVietnam

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𝕋𝕚𝕋𝕒𝕟 𝕄𝕠𝕟𝕤𝕥𝕖𝕣 ||
They did not name the storm. For in the old tongue, to name a thing… is to bind it. And this could not be bound. The sky split in silence, not with thunder, but with something older than sound. From the fracture, it descended not rain, but omens. Each drop carried a forgetting. Each touch erased a law once believed eternal. The ground trembled, not in fear but in recognition. For this had happened before. Long before memory was given to men. And in the midst of the unmaking, Siggy walked. Unmarked. Unclaimed. Not as a survivor but as something the storm refused to take. The sigil upon his brow did not glow. It watched. Ancient. Patient. Knowing. For the storm was no calamity. It was a rite. A ritual of severance where the false is stripped, and the hidden is revealed. And Siggy… was never meant to endure it. He was meant to witness it. @ritualnet @ritualfnd @ericgudboy
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