From multi‑chain stablecoins and institutional settlements to DePIN, builders use LayerZero to make “onchain” feel like one connected environment instead of a mess of isolated networks. @LayerZero_Core is quietly wiring crypto into the real world. It’s the messaging layer that lets money, data, and assets move across 100 blockchains as easily as sending an internet packet, so a stablecoin payment on Stellar can trigger a DeFi position on Ethereum or a reward in a game on another chain in one shot. The Default is Many Chains

Yet another contribution for @yugen_gg spent 3hrs perfecting and penciling this masterpiece on a paper 🔥 I hope to be part of the 700 leaders 🥹 @iammattiex Dad I’m an early supporter🙏 WE ARE YUGEN!

Survival isn’t pretty. It’s scars, silence, and the will to keep walking... my entry for the @thebeaksart contest @DKashtalyan

The Beaks Art Contest is live. You have 7 days to submit. Theme: interpret a Beak character in your own style - any medium allowed. Rules: • No AI • Original art only • Tag @thebeaksart • Follow @thebeaksart & @DKashtalyan • One entry per person 30 Guaranteed whitelist spots will be distributed for the genesis collection. More details: beaks.site/contests

The Floating Beak Floating Beak left behind a noisy world to drift peacefully across the ocean with nothing but a drink, a sun hat, and his silence. Sailors say being near him reminds you who you were before life became loud. @thebeaksart @DKashtalyan

Top notch creativity with @thebeaksart It’s fire 🔥 Every creative carries a different aura and style

Tried the prompt Looks sharp

Mantle is quietly building the liquidity chain, not just cheaper blockspace, but also: 🍀ZK-validity rollup secured by Ethereum 🍀Native mETH staking restaking fBTC and yield stables wired into DeFi 🍀A community of builders activated by this creator push If you’re serious about on-chain finance, you should probably be posting in the Mantle X Community right now. My entry for @Mantle_Official Track 1: Notion Cover Design.

You Think You’re Just Moving a Robot Arm. You’re not. Every session on @PrismaXai is something far more important: You are training physical AI in real time. And most people still don’t fully understand what that means. When you sit behind the controls and guide a robot through a task, it feels simple: •Reach •Grip •Adjust •Place A clean loop. Almost mechanical. But under the surface, something much deeper is happening. The Data That Actually Matters The system isn’t just recording success. It’s capturing: •Your hesitation before a grip •The micro-adjustments mid-movement •The correction when an object shifts unexpectedly •The imperfect, human way you recover from failure That’s the signal. Because the real world isn’t clean, repeatable, or predictable. And this is exactly where traditional approaches fail. Why Simulation Alone Isn’t Enough Most robotic systems are trained in controlled environments. Simulations are: •Structured •Repeatable •Optimized But reality isn’t. Objects vary. Angles change. Friction behaves differently. Things go wrong. And when they do, robots trained only on “perfect data” break. Human operators solve that gap. You bring: •Intuition •Adaptability •Real-time correction •Contextual decision-making Things that cannot be fully synthesized in simulation. What You Actually Do on PrismaX The workflow looks simple. But it’s deceptively powerful. You log into the dashboard. You enter the Robot Control Center. You choose your system: •Training Arm Black •Training Arm Gold •Arena Arm (for higher volume execution) You join the queue. Instead of waiting passively, you optimize your time: •Enable alerts at position 5 •Enable alerts at position 1 Then step away. When it’s your turn, you’re notified instantly. The Session The feed opens. You see what the robot sees. And then: •You control movement in real time •You adjust dynamically •You respond to uncertainty The latency is low enough that it feels immediate; almost like direct physical interaction. When the session ends: •Your performance is evaluated •Your points are credited automatically Simple on the surface. But Behind the Scenes, It’s Not Simple at All Every session becomes structured training data. Not just outcomes. Behavior. That data is: •Aggregated •Processed •Fed into machine learning models These models are then used to train robots to: •Handle unfamiliar objects •Adapt to new environments •Operate without explicit instructions This Is How Physical AI Scales One operator is useful. Thousands are transformative. At scale: •Millions of sessions •Billions of movement data points •Continuous improvement loops What emerges is not just automation — It’s learned intelligence. The Bigger Shift This isn’t a game. It’s not just a remote task system. It’s a distributed training layer for robotics. Before: Robots were programmed. Now: Robots are taught. And the teachers are human operators. The Part Most People Miss Every breakthrough robot demo you see — every autonomous system that looks “magical” comes after this phase. The unseen phase. The part where: •Humans guide •Humans correct •Humans teach PrismaX’s Core Insight PrismaX understands something fundamental: The path to autonomy does not bypass humans. It runs directly through them. So the next time you complete a session, reframe what just happened. You didn’t just move a robot arm. You contributed to a dataset that will shape how machines interact with the physical world. At scale. For years to come. This is how robots learn. And you’re part of that process. 🌐 app.prismax.ai

Nobody really talks about the hardest part of robotics. • Not the demo. • Not the headline. • Not the moment a robot finally works on its own. The real work happens long before that. It happens in silence. In repetition. In thousands of hours where a human sits behind a screen, manually controlling a robot arm, teaching it how the physical world actually behaves. @PrismaXai is focused on the overlooked layer. And once you see it, you start to realize something important. Most of the physical AI conversation is skipping the part that matters most. Think about how humans learn. A child does not wake up and start walking. There is a process. Slow, messy, and full of failure. They crawl. They fall. They adjust. They try again. Every movement teaches something new. Learning comes from real interaction, not controlled perfection. Robots are no different. Before autonomy is possible, a robot needs exposure. It needs to observe how actions play out in real environments. It needs to see how decisions are made, how mistakes happen, and how those mistakes get corrected in real time. In the real world, where nothing behaves exactly as expected. This is where PrismaX stands out. The system is simple in concept, but powerful in execution. A human logs in and takes control of a robot arm remotely. Every action is captured. Every movement, every correction. The data becomes training material. Now scaled across a network of operators, across time, across different environments. What you get is not just data, but experience. Layered, diverse, and grounded in reality. That is how a robot begins to understand the world. Real behavior shaping real intelligence. This is the part the industry often avoids. It is easy to showcase hardware. Easy to publish model benchmarks. Easy to promise full autonomy. But there is a fundamental question most people ignore. Where does real-world understanding actually come from? The physical world is inconsistent. Movements are imperfect. Outcomes are unpredictable. And the unpredictability is not a problem to eliminate. It is the training ground. It is what prepares systems for scenarios they were never explicitly programmed for. PrismaX is building directly into the reality. As a working system that is already collecting, already learning, and already improving with every single session. They are not trying to remove humans too early. They are using human input as the foundation. As the bridge between zero capability and true autonomy. And that approach feels different. More grounded. More practical. More aligned with how intelligence, in any form, is actually built. • Real robots. • Real operators. • Real data. The future of physical AI is not being imagined. It is being trained. And right now, the training is happening in real time. The operator could be you. 🌐 app.prismax.ai

$ZRO is inevitable

PrismaXAI Release Notes – Edition 3 is LIVE Just spent some time exploring the new Robot Control Center, and honestly this is one of the biggest usability upgrades PrismaXAI has pushed so far. If you're new to the platform or already operating robots, this update makes everything clearer, smoother, and harder to mess up. Here’s a simple breakdown of what changed and why it matters 🤖 1. New Robot Arms Access Rules The Control Center now clearly separates the robot arms so you know exactly where you should be operating. • Training Arm – Gold / Black Perfect for learning and daily operation. Amplifier users: 3 sessions per day Innovator users: 6 sessions per day • Arena Arm Where things get competitive. Amplifier: 3 first-time runs Innovator: unlimited runs • Private Arm Restricted access arm that requires an invite code. If you’re wondering “Which arm should I start with?” → Training Gold is the easiest entry point to understand the controls and workflow. ⏱ 2. Smart Queue Notifications One of the most helpful additions. You’ll now receive alerts when your queue position reaches: 🔔 Position 05 – get ready 🔔 Position 01 – you're next No more staring at the screen wondering when your turn is coming. 🚪 3. Leave Queue Confirmation Finally! Before this update it was easy to accidentally exit the queue with one click. Now PrismaXAI added a confirmation step, which means no more losing your position because of a misclick. 👤 4. Account Page Improvements Your profile section is now cleaner and more connected. You can now: • Relink your X/Twitter account • Add your Discord ID • Improve account visibility This helps strengthen your identity inside the PrismaX ecosystem and prepares the platform for more community-driven features. 🛠 5. Important Bug Fixes Several frustrating issues were quietly fixed: ✅Queue getting stuck ✅Position inconsistencies ✅Streaming delay while operating ✅Incorrect points calculation Everything feels noticeably smoother now when navigating the Control Center. 💡 My Experience After testing the updated interface, the biggest improvement is clarity. The queue system feels more predictable, the robot arms are easier to understand, and the small quality-of-life fixes make the platform feel much more stable. For beginners joining PrismaXAI, this update removes a lot of confusion about where to operate, how queues work, and what each arm does. If you haven't yet: 1️⃣ Follow @PrismaXAI 2️⃣ Open the new Robot Control Center 3️⃣ Explore the different arms 4️⃣ Share your experience with the community The PrismaX ecosystem is growing fast, and updates like this show the platform is actively improving the operator experience. Curious to hear what others think about Edition 3.

WHY TELEOPERATION MATTERS @PrismaXai is solving one of the biggest problems in robotics right now and most people haven’t noticed yet. Robots cannot learn from simulations alone. They need real world data from real environments. That is exactly what teleoperation provides and it is exactly what PrismaX is built around. HERE IS HOW IT WORKS When operators log onto the PrismaX platform and control a robotic arm, every single movement is recorded. Every pick. Every place. Every adjustment. That data becomes the training fuel that makes robots smarter, more accurate, and eventually more autonomous. Every major robotics company like warehouses, medical systems, industrial operations needs this data to build capable robots. Most were building their own teleoperation stacks from scratch, wasting time and money recreating the same infrastructure. PRISMAX STANDARDIZES ALL OF IT → A global network of operators contributing real demonstrations → A uniform teleoperation standard that robotics companies can plug into → A growing dataset that improves with every single session THE ROADMAP IS CLEAR Today — operators teleop robots and generate training data Next — as robots improve, operators manage fleets completing real tasks for real customers Long term — robots reach high autonomy and PrismaX becomes the infrastructure powering millions of them Think of PrismaX the way you think of cloud infrastructure for software. Robotics needs the same foundational layer and PrismaX is building it. Physical AI does not scale without data. @PrismaXai is how you get it.

Jolt Pro is a 100x improvement over existing zkVMs. After months of researching all existing zkVMs, we realized none of them could scale to what we needed with Zero. Then we came across @succinctJT's work and Jolt, a research project from @a16zcrypto. We saw massive potential in the math and, finally, a viable way to scale to our needs. So we secretly assembled a team of some of the brightest minds across cryptography, GPU programming, and ASIC design to build an internal Jolt Pro team. Jolt Pro has no precompiles; it runs only RISC-V instructions, without introducing new ad hoc, error-prone constraints. It's impossible to compare against other zkVMs because they are not proving straight RISC-V, most of their work and speed gains exist in dangerous pre-compiles. Jolt Pro scales to infinity. The number of cells you can use in parallel is only limited by the size of the datacenter. Jolt Pro has a path to 4GHz cells using the same configuration we use for our 1.61 GHz cell today. By early 2027, it will be post-quantum and set the standard for all zkVMs. We will eventually make "zero-proofs", and others can try to beat our RISC-V proving in the open. For now, we stay heads down, building Zero to be everything the industry ever wanted. And then just a little more.

Genesis Globe is coming. The mint date is officially set for March 11. Minting will happen via @opensea : opensea.io/collection/genesi…(Wallets are not added yet) If you still don’t have WL, you still have a chance. You can apply on our website: genesisglobe.xyz For the next 48 hours. This is your chance to be part of Genesis Globe.

gm ct Happy Tuesday Be gracious to your ever evolving self…

Someone stole the Yuckpot. Now 7,777 Yucky Ducks are sailing on @opensea to get it back. Apply for WL: yuckyducks.com/ Retweet and drop your wallet if you’re joining the hunt 👇