Shadow Lord 👻

@infinite @nvs I've been waiting for this moment @infinite

Coming soon (feat. @nvs)

@cooper_kunz I agree with your point of view

most normies don't know what stripe is most degens don't know what tempo is funny how magic internet money works

**Poker Night Announcement** Another poker night is coming! 🃏 **When:** Friday, 20 March 2026 at 21:00 🔔 Button will be published 2 hours before start 📝 **Register here:** #register (read channel instructions first, then click play to complete) @SeismicSys @Heathclcliff @Verified @NoxxW3

@infinite You're arranging community plans that I'm still waiting to see @infinite

𝗪𝗲'𝗿𝗲 𝘁𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝘄𝗲𝗹𝗰𝗼𝗺𝗲 𝗘𝘃𝗲𝗿𝗲𝘁𝘁 𝗛𝘂 𝗮𝘀 𝗙𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗠𝗲𝗺𝗯𝗲𝗿 𝗼𝗳 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗳𝗳 𝗮𝘁 𝗜𝗻𝗳𝗶𝗻𝗶𝘁𝗲

@caothanquang369 Nét luôn b

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

@DoanjNgan35654 @ritualnet Cho anh xin bức kk

Amid complex infrastructure, heavy compute, and AI models 🤖⚙️, @ritualnet isn’t just about speed or technology, it’s about building things naturally, with rhythm 🌿 Siggy playing, blowing bubbles 🫧… just like how Ritual is creating small, light pieces of value step by step 🧩 Not loud, not rushed but everything has its place in a bigger picture 🌌✨ @RitualVietnam @joshsimenhoff @Jez_Cryptoz @ericgudboy

@vantranfuji Wow vẽ đẹp đó chị

Confidential stablecoin payments on Tempo mainnet, powered by Fairblock, are now live and running successfully. From here, use cases like confidential payroll, corporate treasury management, merchant payments, and B2B transactions have officially gone live on mainnet. Congrats to @tempo and Fairblock! @0xfairblock

@elliei43134 Chăm quá em ơi

📢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

@09_thanh86106 @PerleLabs Nổ to kèo này rồi

GM @PerleLabs Fam !!! Everything is moving fast right now. The airdrop check is officially live: 👉 register.perle.xyz If you’ve been grinding through Season 1, now’s the time to check your allocation. Feels like things are lining up quickly, snapshot done, airdrop checking live… we’re getting closer to the $PRL TGE. Good luck to everyone who participated. Let’s see how this plays out @PerleLabs @stwghthaiquocx @Eazyxbt @alivinex2 @xlordiot @ThiagoGoooooon

@ieatded @0xfairblock Nice art fen

All Shroomies are interconnected, each with its own task forming a single whole @0xfairblock

@elliei43134 @boredabdel Anh vào hóng ké với nhaa🤣

AI Agents may work perfectly on a laptop. But what happens when 100,000 users try to access them at the same time? Session #6 goes beyond the tinkering phase and into real-world deployment. Together with @boredabdel, this session will break down how to deploy AI Agents on Kubernetes (K8s) and what it takes to make them scalable, reliable, and production-ready. 👇 🗓️ March 31, Tuesday ⏰ 20:00 TRT | 19:00 CEST | 17:00 UTC | 01:00 PM ET 📍 Set your reminder here: X Live See you there! @ericgudboy @ritualfnd @joshsimenhoff @Jez_Cryptoz @SaintLee04

@HienTran200690 @tempo Rồi anh ạ

@shadowlord_VN @tempo có discord chưa em

Congrats to the @tempo team on the successful mainnet launch! 🎉 From day one on testnet, Fairblock has powered confidential stablecoin payments. Now we’re thrilled to bring privacy-first use cases to mainnet: - Confidential payroll - Corporate treasury management - Merchant checkouts - B2B payments This unlocks fast, stable, and truly private on-chain payments — perfect for businesses and open finance. Excited for what’s next from Tempo × Fairblock! 🚀 @0xfairblock @tempo

@DngDZ16 @RialoHQ Chúc mừng em zai

Grialo Fams !!! RWA isn’t just a trend it’s the bridge between real world value and Web3. As the crypto market shifts toward real utility, Real World Assets (RWA) are emerging as one of the most important narratives. @RialoHQ is positioning itself right at the center of this transformation. Unlike platforms that stop at basic tokenization, Rialo is building a full RWA Exchange Hub where assets like real estate, commodities, and business cash flows can be digitized, traded, and managed transparently on chain. What stands out is @RialoHQ integration of AI and data analytics to evaluate and optimize asset value. This helps address two of the biggest challenges in RWA: risk management and liquidity. While ecosystems like Ethereum and Polygon provide the infrastructure layer, @RialoHQ is going a step further by focusing on a dedicated application layer for RWA. If executed well, @RialoHQ could become a true bridge between traditional finance and Web3 where real-world assets are not just tokenized, but actively utilized to generate value. Bulish On Rialo 🚀 @RialoHQ @aqccapital @Richardx122 @khant1506

@moodenger @PerleLabs Wow congarts

gPERLE 🦾 @PerleLabs

@0xBon7 @0xfairblock Nhìn gia đình nấm hạnh phúc quá sir ơi

Back home after a laid-back trip… and yeah, it’s already wednesday 😅 Shroomie is on the way back to @0xfairblock

@junn_17425737 @SeismicSys @NoxxW3 @xealistt @heathcliff_eth Nét nét dữ vậy anh zai 😚

Like an archaeologist lost in space ,I have found the rarest gemstone… Not gold, not diamond, but @SeismicSys @NoxxW3 - @xealistt - @heathcliff_eth

@Navtq0808 Grialo 🫡

🧠 Product Research – Rialo (Day 29) From Logic → To Agents If blockchains start behaving like runtimes, the next layer isn’t just logic. It’s agents. Not contracts waiting to be triggered, but systems that: ✅ observe the world ✅ make decisions ✅ take actions continuously Traditional smart contracts are passive. They execute *when called*. But in a runtime-driven architecture like Rialo: → logic persists over time → state evolves continuously → execution is no longer momentary This opens the door to **on-chain agents**. Think about systems that: • monitor price feeds and rebalance portfolios • react to news events in real-time • manage credit based on off-chain behavior • coordinate supply chains without human input The shift is subtle, but massive: from "if X happens → execute Y" to "continuously watch → decide → act" At that point, we’re no longer writing contracts. We’re designing behaviors. And the blockchain becomes: not a ledger, but an environment where autonomous systems live. Rialo doesn’t just make this possible. It makes it native. And once agents become first-class citizens on-chain, the question is no longer: "what can we build on blockchain?" but: "what systems can we let run by themselves?" #Rialo #Web3 #Blockchain @RialoHQ @khant1506 @Richardx122 @aqccapital

@caothanquang369 @ritualfnd @joshsimenhoff Chăm quá b ơi

Some days, we are just like Siggy quietly existing in the middle of a fast-paced life, not needing to say much, just needing a moment to feel ourselves. We don’t always have to be strong or cheerful; sometimes, simply being who we are is already enough. @ritualfnd @joshsimenhoff @Jez_Cryptoz @ericgudboy