The future of AI is not just smarter agents, but faster and more trusted ways for them to exchange value. @pharos_network is building the foundation for this new economy. As AI agents grow, they will need instant, low-cost and secure transactions. Pharos provides the scalability, transparency and trust needed for machine-to-machine payments. The rails being built today will power the AI economy of tomorrow. DEMANDS>>> •AI agents need a payment system built for autonomous transactions. •Traditional financial systems cannot handle billions of tiny AI payments. •Trust, transparency and auditability are essential for the agent economy. •Tokenized payments enable fast, global and 24/7 value exchange. •Pharos Network is designed to provide the scale and infrastructure AI agents need. #AI #Buildonpharos @ironsidecrypto

Happy to see Pharos taking another step toward transparency and regulatory readiness. As Web3 continues to grow, trust and compliance will be key to bringing more institutions and users onchain. The MiCAR Whitepaper reflects Pharos’ commitment to building accessible, secure and future-ready financial infrastructure. Looking forward to seeing what’s next for @pharos_network @pharosnigeria_ @ironsidecrypto

[Robot🤖] Where should i learn today? 🗣️ Random AI protocols? 🤖 NO! Not interested ❌ 🗣️ @axisrobotics Hub? 🤖 YES! 😊 Now, we are talking ✅🤝

Pharos Developer Season is LIVE! ▪️50,000 $PROS Prize Pool ▪️Open to builders worldwide ▪️6-week hackathon 📅 Phase 1 (Jun 8–22) Build Skills that AI Agents can use. 📅 Phase 2 (Jun 23–Jul 6) Turn those Skills into full AI Agents. 🎁 Rewards: • Skill Builders ➖5,000 $PROS • Skill Hackathon ➖20,000 $PROS • Agent Arena ➖25,000 $PROS Time to 👇🏽 ✅ Earn rewards at every stage ✅ Funding & project support ✅ Chance to join the Pharos incubator ✅ Global exposure ✅ Mentorship from the Pharos team #Buildonpharos

I’m truly honored and grateful to be among the winners of the One-Month Marathon Content Campaign. A huge thank you to the @axisrobotics team for organizing such an inspiring initiative and providing us with the opportunity to learn, create and contribute to the community. This campaign challenged me to be more creative, consistent, dedicated and I’m proud to have been part of it. Congratulations to all the winners and every participant who contributed throughout the journey. Your amazing content and engagement made this campaign a success. Thank you once again for this recognition. I look forward to contributing even more and continuing to support the vision and innovation of Axis Robotics. @plpiaoliang @iamlogtun

When i first started contributing on Axis Hub, i thought it was simply about submitting data and completing tasks. Over time, I realized the real value went beyond that. I focused on creating educational content, writing guides and simplifying complex topics so newcomers could get started with confidence. Seeing people learn from my posts became one of the most rewarding parts of the journey. I also made it a priority to engage with the community, sharing insights and helping contributors understand how to maximize their impact on the @axisrobotics Hub. As the community grew, I took another step forward by hosting events and interactive sessions, thanks for the opportunity @iamlogtun. These events created opportunities for contributors to connect, learn and collaborate while strengthening the Axis ecosystem. Through data contributions, educational content, community engagement and event hosting. I’ve learned that meaningful growth comes from both contributing value and helping others succeed. Axis Hub has been more than a platform for me. It has been a place to learn, teach, connect and grow alongside an amazing community.

Ahoy Sailors! The Pharos Storyteller Program 2.0 is a fresh start for all creators, with a stronger focus on quality, consistency and valuable content. Anyone can join by creating original @pharos_network content such as threads, memes, videos, tutorials and educational posts. Creators who consistently produce good content may first receive the Observer role, which is the evaluation stage before becoming an official Storyteller. The Storyteller journey follows a clear path👇🏽 ▪️Rising Storyteller ▪️Elder Storyteller and ▪️Elite Storyteller, with promotions based on impact and contribution. Stay active, create quality posts weekly, tag @Pharos_Network, use #PharosStoryteller and share your work on DC to increase your chances of being recognized.

The Pharos Agent Center gives AI agents a structured way to perform onchain actions and outstanding Skill Builder Campaign submissions can earn $500 each. Some of the most exciting AI agent skills are still waiting to be created. The community can build useful tools like DeFi position analyzers and DAO voting assistants. AI agents can also help users track assets across multiple wallets in one place. RealFi product interaction tools are another great area for builders to explore. Contract debugging helpers can make it easier to find and fix smart contract issues. Portfolio intelligence tools can help users understand and manage their investments better. On-chain onboarding flows can make blockchain easier for new users to use. 👉🏻 pharos.xyz/agent-center #Buildononpharos @pharos_network

A Global Expansion Strategy is a company’s plan to grow beyond its home country and operate in different parts of the world. For @axisrobotics, global expansion means bringing its robotics technology, infrastructure and AI-powered solutions to different regions where robots can solve real-world problems. Instead of building robots for just one market. Axis aims to create systems that can work in many environments, industries and cultures around the world. Why is Axis Robotics Expanding into AFRICA, EUROPE & ASIA. Africa is one of the fastest-growing regions in the world, with increasing demand for automation in agriculture, logistics, manufacturing and infrastructure. For Axis Robotics, Africa offers 👇🏽& beyond. ✅ Diverse real-world environments for robot training and testing. ✅ Opportunities to improve productivity in industries that still rely heavily on manual labor. ✅ Access to a young and growing tech-savvy population interested in robotics and AI. ✅ A chance to build solutions that address local challenges, making robots more adaptable globally. Europe is home to many advanced industries and some of the world’s leading robotics and AI research communities. Axis Robotics is expanding into Europe because 👇🏽& beyond. ✅ Many companies are already looking for automation solutions. ✅ Europe has strong engineering talent and research institutions. ✅ Industrial sectors such as manufacturing, warehousing and logistics can benefit from advanced robotics. ✅ Working in Europe’s highly regulated environment helps Axis build safer and more reliable robotic systems. Asia is one of the largest robotics markets in the world and a major hub for technology innovation. Axis Robotics expands into Asia because 👇🏽 & beyond. ✅ Many countries are already adopting robots at a large scale. ✅ There are massive manufacturing and supply chain industries. ✅ Access to robotics talent, hardware suppliers and technology partners. ✅ More real-world data from different industries helps train smarter AI-powered robots. The vision of Axis Robotics is not to build robots that only work in one city or country. The goal is to create robots that can operate anywhere in the world. By expanding into Africa, Europe and Asia, @axisrobotics gains access to different environments, industries, languages, regulations and user needs. This helps the company collect more diverse data, improve AI models and build robots that are smarter, safer and more useful in real-world situations.

This is a great opportunity for enthusiasts to connect, share ideas and explore what’s next for the industry. @pharos_network is heading to Vault Summit NYC and will are excited to meet founders, investors, asset managers and blockchain builders who are shaping the future of on-chain finance. 💙 See you in New York! 🇺🇸 📍 Vault Summit NYC ▪️ June 5▪️

What is Data Verification in Axis Robotics? Think of data verification like a quality check before a robot learns something new. At @axisrobotics, robots learn from huge amounts of data collected from simulations and real-world tasks. But not all data is useful. Sometimes data can be wrong, incomplete, duplicated or contain mistakes. Data verification is the process of checking and confirming that every piece of data is accurate, reliable and useful before it is added to the training pipeline. Without data verification, robots could learn bad habits, make wrong decisions or even fail when performing real-world tasks. ▪️i.e▪️ ➡️ Bad data = Bad robot behavior ➡️ Good data = Smarter and more reliable robots How Axis Robotics Handles Data Verification 🔻 Axis Robotics uses multiple layers of verification to make sure only high-quality data is used for training. 🔸Automatic Data Checks Before data enters the system, Axis automatically scans it for errors. The system checks for👇🏽 ✅ Missing information ✅ Corrupted files ✅ Duplicate data ✅ Incorrect task recordings This helps remove obvious mistakes before training begins. 🔸Cross-Checking Task Results @axisrobotics compares task outcomes with expected results. For example: If a robot is trained to pick up a cup but the data shows the cup was dropped, the system can flag that data for review. This helps ensure robots learn successful actions instead of failed ones. 🔸Simulation Validation Axis generates massive amounts of data in simulation environments. Before using this data, the platform verifies that the simulation behaves realistically. The goal is to make sure virtual experiences closely match real-world conditions. This reduces the gap between simulation and reality. 🔸Consistency Testing Axis checks whether the same task produces similar results across multiple runs. If one dataset shows very different behavior from others, it may indicate an error. Consistency testing helps identify unreliable data before it reaches the training stage. 🔸Continuous Feedback Loop Data verification doesn’t stop after collection. As robots perform tasks, Axis continuously gathers feedback and checks whether the robot’s actions match expected outcomes. This allows the platform to spot issues early and improve future datasets. Without proper verification: ❌ Robots may learn incorrect actions ❌ Models become less reliable ❌ Real-world performance suffers With strong verification: ✅ Better robot performance ✅ More reliable AI models ✅ Faster development cycles ✅ Safer real-world deployment Summary! Axis Robotics understands that powerful robotics starts with trustworthy data. Data verification acts like a safety inspector, checking every dataset before it teaches a robot something new. The result is simple: Better Data → Better Learning → Better Robots #AI #Robotics #AxisRobotics

Major Key Points from the @pharos_network May Updates! 🔸 Pharos is growing very fast. The network reached 1 million transactions in a single day, showing that more people are actively using the blockchain. 🔸AI agents can now use the blockchain. The new Agent Center and Skill Engine allow AI tools to check balances, send transactions, deploy contracts and perform other blockchain tasks using simple language. 🔸The community became much bigger and more active. Over 1,400 new members joined and many programs were launched for developers, creators and ecosystem contributors. 🔸The ecosystem expanded with new products and partnerships. New yield vaults, decentralized identity services, trading platforms and major partnerships were introduced to bring more real-world financial use cases to Pharos. 🔸Pharos gained global attention. The team hosted and attended events in cities like New York City, Madrid, Ho Chi Minh City and Seoul, while preparing even bigger AI and Real-World Asset (RWA) developments for June.

Exciting news from @pharos_network The first batch of Storytellers for Season 2 has officially been approved. The selected creators have consistently produced outstanding content and have now earned the Storyteller role, unlocking exclusive benefits within the Pharos ecosystem. A fresh group of creators has joined the community as Observers. They will continue their journey, grow their contributions and work toward becoming future Pharos Storytellers. All newly assigned role holders now have access to a dedicated Creators section on discord where they can receive early updates, content guides and more focused support from the team. The Pharos story continues. Stay with Pharos 🌊 Announcement: x.com/pharos_eco/status/2060…

Make Unna just shoot, wetin be my own?

Sim-to-Real means teaching a robot inside a virtual world (simulation) first, then making it work in the real world later. At @axisrobotics, robots can practice tasks thousands of times in simulation because it is faster, cheaper and also safer than training only with real machines. Think of it like a driving video game. You can learn road signs and steering in the game but driving a real car feels different because real roads have bumps, weather, traffic and many other surprises. That same problem happens with robots. Why robots trained in simulation struggle in reality 👇🏽 A simulation is never 100% like the real world. The robot learns from a “perfect digital environment,” but reality is messy and unpredictable. For example: •In simulation, objects may always stay in the same position. •In real life, lighting changes, objects fall, sensors make mistakes and surfaces are slippery. So when the robot enters the real world, it gets confused because things are not exactly the same as what it practiced on. This is called the Sim-to-Real Gap. Simple Example🔻 Imagine a robot trained in simulation to pick up a cup. Inside simulation: •The cup is always clean. •The table is always bright. •The robot hand never slips. But in the real world: •The cup may be wet. •The room may be dark. •The table may shake slightly. •The robot grip may miss. The robot suddenly performs badly because reality is harder than simulation. How Axis Robotics helps solve this👇🏽 At Axis Robotics, the goal is to reduce this Sim-to-Real gap by creating smarter training systems. Axis improves robots by: •Training them in many different simulated environments. •Adding randomness and unexpected situations. •Using real-world human data and teleoperation. •Testing failures and teaching robots from mistakes. This helps robots become more adaptable instead of only memorizing one perfect environment. Why this matters🔻 Without good Sim-to-Real training: •Robots fail in homes, factories and warehouses. •They become unreliable outside the lab. •Robotics innovation becomes slower. But with better Sim-to-Real systems, robots can: •Learn faster, •Adapt better, •And work safely in real-world environments.

Yes, First Nigerian with this kind of head 😁

Bless me with algorithm, thank you!

Smash Karts Game with Pharos NG & Axis Robotics NG 🇳🇬 📅 Event Details: • Game: Smash Karts • Date: Tomorrow • Time: 5:00 PM (WAT) • Participants: Pharos NG & @axisrobotics NG community Join here: discord.gg/pharos Join here: discord.gg/axisrobotics See u there!

At Axis Robotics an End-to-End Pipeline means every part of robotics works together as one connected system. From collecting robot data to training AI models, testing in simulation, finding mistakes and also improving robot actions to make sure everything flows together smoothly. Think about it like cooking in one kitchen. All your ingredients, tools and chefs are in one place so food comes out faster and better. That is how an end-to-end pipeline helps robotics. But when robotics infrastructure is fragmented, everything is separated. One tool collects data, another tool trains the robot, another handles simulation and none of them communicate properly. This slows down progress because engineers waste time moving files, fixing compatibility issues and repeating the same work. At @axisrobotics, fragmented systems are seen as a big problem because robots learn from constant feedback. If the systems are disconnected, the robot cannot improve quickly from its mistakes. For example: •A robot fails to open a door •The failure data gets stuck in another system •Engineers manually transfer the data •Simulation testing takes longer •Training updates are delayed Instead of learning in hours, improvement may take days or weeks. That is why end-to-end pipelines matter. They allow: •Faster robot learning •Better coordination between AI systems •Real-time failure fixing •Faster simulation testing •Quicker deployment into the real world The goal is to create one connected robotics ecosystem where robots can continuously learn, adapt and improve without unnecessary delays. This helps accelerate the future of Physical AI and real-world robotics innovation.