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@PrismaXai x Monad is the first collaboration - and it definitely sounds exciting. PrismaX launched a new campaign together with Monad, @monad allocating $10,000 in MON. Anyone who buys a new subscription on the Monad chain for $99 or $399 automatically takes part in the prize distribution. Considering the current number of participants, the $99 Amplifier subscription pays off quite easily. I would have joined, but I already have two active subscriptions on my main account. So I decided to skip this event - even with the 2× points and 2× contribution hours. I already have 25+ contribution hours and I’m close to the top 10 on the global leaderboard, so skipping makes sense for me. It’s also important that all previous Innovator subscribers were moved to Training Arm for one month with priority queue access - they can keep farming points under good conditions, which sadly can’t be said for Amplifiers. I’m sure this is only the beginning of collaborations like this. Good luck to everyone joining the Monad Buddy Arm. Pay attention, I am easily doing this from my phone :)

Robots don’t actually see the world the way we think they do. We assume that if a robot has cameras and models, it “understands” its environment. It doesn’t. What it really sees is fragmented signals: edges, depth, probabilities, approximations. Now compare that to humans. We don’t just see objects. We understand context instantly: - this is fragile - this might slip - this needs adjustment - this is not worth forcing That layer is missing in robotics. And that’s exactly where PrismaX becomes interesting. Through teleoperation, humans project their perception onto machines. Every correction, hesitation, micro-adjustment - these are not just actions. They are interpretations of reality. And those interpretations get recorded. Over time, this creates something powerful: not just data, but a mapping between human intuition and physical execution. This is what simulations struggle to replicate. Because simulation models physics. But humans model meaning. @PrismaXai sits in between. It captures how humans interpret the real world - and turns that into training signal for machines. So it’s not just about controlling robots. It’s about teaching them how reality actually feels to a human. prismax.ai - future is here <

Teleoperation might become the first global “job” layer for robotics. Not a lab. Not a factory. A network. With PrismaX, people from anywhere can control real robots, solve tasks, and generate real-world data. But look deeper. This isn’t just interaction. It’s distributed labor. Small actions: adjust, retry, correct, recover. Individually - nothing special. Collectively - a training system for autonomy. This flips the model: Instead of robots replacing humans, humans become part of how robots learn. A new layer emerges: human intuition → robot execution → data → intelligence. Teleoperation is not just a feature. It’s a coordination layer between humans and machines. And @PrismaXai is one of the first systems trying to scale it.

Robots don’t struggle with actions. They struggle with adaptation. Picking up an object isn’t hard. Picking it up when it’s slightly off, slipping, or unexpected - is. The real world is full of small deviations: angles, resistance, timing, imperfect conditions. That’s where most robotic systems fail. Not because they don’t know what to do - but because they don’t know how to adjust. And adaptation is hard to simulate. PrismaX approaches this differently. Through teleoperation, humans handle those edge cases in real time: they correct, slow down, retry, improvise. Those moments - not perfect actions - are what matter. They become training signals for how to deal with reality. Over time, this builds something critical: not just capability - but resilience. @PrismaXai isn’t just teaching robots to act. It’s teaching them how to adapt.

Not sure which arm to pick in the new Robot Control Center? Here’s the simplest breakdown after the latest update: Training Arm Gold / Black -Amplifier: up to 3 runs/day -Innovator: up to 6 runs/day Arena Arm -First-Time Amplifier: up to 3 runs -Innovator: unlimited Private Arm -Invite code only Edition 3 also improves the flow in ways that actually matter: -queue alerts at Position 05 and 01 -leave queue confirmation -cleaner account page (X relink, Discord ID, clearer visibility) -fixes for stuck queues, position issues, streaming delay, and points calculation Small UX updates, but they make the platform much easier to understand and use - especially for newer teleoperators. @PrismaXai

@gabrielahigor @PrismaXai AI with humans data, very scalable feature😏

Recently, @PrismaXai published an article on their X profile and I want to briefly explain what it is about. The article explains how robotics and physical AI actually develop. Despite major progress in hardware, sensors, and algorithms, robots still primarily learn through interaction with the real world. Humans demonstrate how tasks should be performed, robots repeat those actions, and the resulting interactions generate data that improves the AI models controlling them. PrismaX describes this process as a simple cycle: Robots → Data → Intelligence. Robots interact with the environment, those interactions generate data, the data improves the intelligence of the system, and better intelligence allows robots to perform more complex tasks and collect even more valuable data. In the first stage, PrismaX focused on building teleoperation infrastructure - systems where humans remotely control robots while performing real-world tasks. This allowed them to generate large amounts of robotics interaction data. Through operating these systems, they also discovered that many details influence the usefulness of robotics data: robot design, camera placement, sensors, task structure, and how humans interact with the robots. Now PrismaX is entering the next stage - building a service layer for physical AI. The idea is to create standards for the entire robotics pipeline: how robots should be deployed, how tasks should be structured, how humans interact with machines, and how all of this produces high-quality data for training AI systems. In the future, PrismaX plans to introduce an owner-operator model. This would allow individuals and organizations to register their robots, operate them in real environments, and contribute datasets generated from those interactions. Over time, this could create an ecosystem where robots, human expertise, and AI models continuously improve each other. The more robots operate in the world, the more data is generated, the smarter the models become, and the wider the range of tasks robots can perform. In essence, PrismaX is building the infrastructure that connects real-world robotic deployments with the intelligence that powers them, creating the foundation for the next generation of physical AI.

Does PrismaX actually solve a real problem? The robotics market is growing very fast. By 2025 its value is already around $50B, and by 2030 it’s expected to exceed $100B. But there is one fundamental problem. Robots have learned to do many things. In China, for example, they already demonstrate parkour, kung fu, dancing, and complex coordinated movements at public shows and tech exhibitions. However, these demonstrations are only the tip of the iceberg. The real challenge for robots is the real world: friction, angles, mistakes, and unpredictable situations. This is where @PrismaXai comes in. The idea is simple: humans remotely control robots → those actions become training data → AI models learn to operate autonomously. More operators → more real-world experience → faster development of robots. That’s why PrismaX is not just another Web3 project. It’s an attempt to build infrastructure for training robots in the real world. And that’s exactly why it feels so timely right now. prismax.ai

What does PrismaXAI actually mean for a usual person? Simply put: it’s a way to teach robots how to work in the real world faster. @PrismaXai combines robotics, AI, and Web3 into one system. Through teleoperation, people remotely control real robots performing tasks in physical environments. Every movement becomes training data for AI models. Over time, robots learn to perform those tasks autonomously. Thousands of these sessions create a growing stream of real-world experience. In simple terms: human decisions today are helping train the autonomous machines of tomorrow.

PrismaXai vision goes far beyond crypto. Here’s how it can impact robotics and AI infrastructure. PrismaXAI isn’t about tokens or speculation. It’s about scaling human experience in robotics. Today, the main limitation of robots isn’t compute - it’s real-world interaction. Models can “think,” but the physical world remains complex: friction, angles, weight, mistakes, recovery. @PrismaXai addresses this through teleoperation: humans control real robots, and those actions become training signals for future autonomy. This creates a compounding effect: more sessions → more real-world data → better models → faster autonomy. And this is where the impact extends beyond crypto: • Accelerating robotics for logistics and manufacturing • Improving training for service robots • Advancing human-in-the-loop AI systems • Building infrastructure for agent systems operating in the physical world Web3 here is simply a coordination and incentive layer. The core idea is creating a scalable layer of real-world experience for robotics. That’s what makes PrismaXAI interesting - not as a “crypto project,” but as infrastructure for the future of intelligent machines.

@Liora_2278 GPrisma Good post Liora🤝

Tele-ops Architecture at PrismaX: A New Standard for Remote AI Control Tele-ops at PrismaX is not just about remotely controlling robots or AI agents - it’s a full ecosystem for secure and reproducible task execution on the blockchain. The system is designed so that each agent operates through its own execution layer, managing its state, resources, communication with other agents, and interaction with smart contracts. This architecture separates computation from network interaction, providing: Scalability - hundreds of agents can be managed simultaneously without performance drops. Stability - each agent’s state is preserved independently, making execution predictable and reliable. Security - blockchain integration ensures transparency and immutability of execution results. The core idea at PrismaX: tele-ops is not just a management tool, but a foundational infrastructure for reproducible AI that can operate in the real world, coordinate actions across multiple agents, and integrate seamlessly with smart contracts. New possibilities include: Remote control of physical robots in complex environments. Coordinated multi-agent operations, where the actions of some agents depend on the state of others. Real-world use cases - from logistics and automation to secure tele-ops in critical industries. PrismaX transforms tele-ops from simple remote control into a platform for full-fledged AI execution, placing security, scalability, and control at the center. @PrismaXai

@Zerg_App I see the code, i guess neew to request the entrance?

@Mineveverexist1 @PrismaXai GPrisma Good post mate🤝

Hi Prisma family! 👋 I wanted to talk about how @PrismaXai actually brings humans and robots together in one system. The core idea is simple. PrismaX puts people directly into the robot control loop. Humans can remotely perform tasks through robots, and every action is recorded by the system. This creates a direct connection between human decision making and physical machine execution. Instead of robots only following fixed algorithms, they learn from real human guided behavior in real environments. This creates true collaboration. Humans provide judgment and context, while robots carry out actions in the physical world. Over time, that accumulated experience helps improve autonomy and system intelligence. It becomes a shared growth process rather than separate development of humans and machines. To me, PrismaX feels like a meaningful step toward deeper integration between people and robotics. If you believe in open and collaborative AI development, keep supporting PrismaX and watching how it evolves. The direction is definitely worth attention. @realAltcoiner @DavidTinh02 @edward_evm @PrismaXai

@PrismaXai in 60 seconds - for those hearing about it for the first time 👇 PrismaX is a robotics + AI infrastructure project built around teleoperation. Simple idea: humans remotely control real robots → those actions become training data → robots learn faster. Instead of only simulations or synthetic datasets, PrismaX captures real-world human judgment: how to move, adapt, recover from mistakes, handle unpredictable situations. That data is extremely valuable for robotics autonomy. Teleoperation here isn’t just a feature - it’s the engine: more users → more sessions → more data → better models. Why it matters: • accelerates robotics learning • connects Web3 incentives with real-world robotics • lets anyone participate, not just labs or корпорации • builds infrastructure, not demos In short: PrismaX = humans teaching robots at scale. And teleoperation is how that future is being built right now

@0xphazy @BitRobotNetwork @iamvella_ @Jennychuks7_71 Tech to earn, so already 2 black horses under radar🤝

Controlling advanced physical AI systems may still feel experimental. But their true impact won’t begin in factories. It will begin at home. Before diving deeper into one of @BitRobotNetwork meaningful initiatives, let’s clarify something I wanna talk much on subnet. What is a subnet? A subnet is a focused ecosystem a coordinated group of people, intelligent systems, and shared resources working together to solve one specific problem exceptionally well. What I wanted to talk about is the SeeSaw subnet. Imagine a home where intelligent assistance is as common as a washing machine or a trusted household helper. Supporting elderly parents helping your family watering plants preparing dinner handling everyday responsibilities. The SeeSaw subnet allows people to record themselves performing everyday tasks. Through these recorded demonstrations, intelligent systems learn directly from human behavior from the way you move, sequence actions, and complete responsibilities. You simply perform a task naturally watering the garden, washing dishes, organizing the kitchen and that lived experience becomes structured learning. In other words you teach through example. Over time, this creates assistance that reflects real human routines real homes and real care. HOW TO PARTICIPATE IN THE SEESAW SUBNET Download on AppStore You’re Invited! Join me to record and earn points… seesaw.io/invite/ MORE INFO Discord mee6.xyz/i/9GC3asC2sX

@glade1579857 So, to the moon it is not just words? Interesting

$ZRO is holding its value better than most coins, even though it doesn't even have a primary utility yet With the launch of L1 Zero, it will gain utility and will be used for gas payments and governance. Staking will be available The launch of L1 Zero will solve the problem of isolation, help with RWA implementation, and strengthen decentralization Funds are investing in LayerZero — this will kill $ZRO! You have to understand that if the project is now raising investments (almost 6 years after its launch), it says a lot. It's not just funds that are investing, but giants like Google and Tether. They are investing in a platform that will help them place their product, technology based on Zero Just think bigger Perhaps now is one of the lowest prices for $ZRO @LayerZero_Core

@OleksandrZaha11 We need another indicator aka pizza, to know more and place right bets ahaha

@_CryptoNotes_ @Nerochain_io @NEROCHAIN_JP Incredible engagement, do you plan to take part in part2?

NERO Phase 2 is live Apps built. Value extracted Now apps keep it 30+ live economies Fortune 500 validator 100M devices 2026 The extraction era ends Sovereignty is here @Nerochain_io

@0xLexWell @Polymarket @xomarket Risky, but worth it i guess, very sweet pnl

Profitable spread between @Polymarket and @xomarket +5% in 1 month 🐰Market: Will Rabby launch a token by March 31, 2026? Polymarket — buy “No” at 4c per share XOMarket — buy “Yes” at 90c per share By taking both sides across platforms, you lock in a guaranteed ~5% return, regardless of the final outcome Capital is tied up for about one month, after which the spread resolves into fixed profit 👉Polymarket: polymarket.com/event/will-rab… 👉XOMarket: beta.xo.market/markets/will-r…

While the team was in Denver, we didn’t slow down for a minute. There were plenty of events, activities, and even a contest. By the way, congrats to everyone who got promoted - well deserved 🙌 @katty_70 @illuviumio_eth @tamaraa901 @Vikki_arts @jahid0x Teleoperation and data don’t generate themselves, so I keep making the most of every opportunity: nearly 100k points, 50+ contribution hours, a strong community, new friends and connections - all thanks to PrismaX. After getting to know the project, the team, and how everything is structured, I subscribed pretty quickly - partly out of curiosity, but mostly because I believe in what they’re building. PrismaX is doing something meaningful: turning real human robot control into training data for future autonomy. It’s not just remote control - it’s infrastructure for robotics. The future of robotics isn’t somewhere ahead anymore. It’s already being built right now. And yes - still a strong @PrismaXai believer . About FUD, i am don't care, will continuously support the project! @Shifu_38 take my beer 🤝

@CryptoLunaa8 Very strong comparing!

What #ETHDenver2026 reminds me of: Ethereum scaled coordination. Not through control – but through decentralization. Thousands of nodes. One shared protocol. Collective consensus. Now imagine applying that logic to robotics. What if physical intelligence wasn’t trained in a single lab – but shaped by distributed humans, in real time? That’s what teleoperation at scale really is. Not remote control. Not manual override. Decentralized coordination of intelligence. Each operator → a node. Each session → a data contribution. Each correction → a protocol update for physical AI. Web3 proved we can coordinate capital. PrismaX is proving we can coordinate capability. And maybe that’s the real bridge between crypto and robotics. Not tokens. Not hype. But humans, aligned through infrastructure, teaching machines together. Teleop → Data → Collective Intelligence 🧠✨ @PrismaXai #ETHDenver2026 #HumanInTheLoop