It's just a start @get_optimum Big milestone for Optimum mump2p is now LIVE on Ethereum Mainnet This is a huge step toward making Ethereum faster, more efficient, and healthier. With mump2p, data propagation across Ethereum can become 2–3x faster, improving validator performance and overall network efficiency Already boosting $3.7B worth of Ethereum stake, mump2p is helping strengthen the infrastructure behind one of the biggest blockchain ecosystems Time to mum

Waiting is over Big day tomorrow @fhenix mainnat live 21 October Now time to Encrypted

বাংলাদেশের 🇧🇩 Web3 কমিউনিটির জন্য নতুন কিছু জানার সময় এসেছে! GenLayer শুধু আরেকটি blockchain project নয় — এটি AI এবং blockchain technology-কে একসঙ্গে নিয়ে আসার একটি নতুন প্রচেষ্টা। এর Intelligent Contracts ধারণা blockchain-কে আরও intelligent এবং dynamic decision-making-এর দিকে নিয়ে যেতে পারে। বাংলাদেশে আমরা যারা Web3, AI এবং decentralized technology নিয়ে আগ্রহী, তাদের জন্য GenLayer ecosystem আবিষ্কার করা এবং এর community-র সঙ্গে যুক্ত হওয়া দারুণ একটি সুযোগ। আমার বাংলাদেশের বন্ধুদের আমন্ত্রণ জানাচ্ছি — GenLayer সম্পর্কে জানুন, community-তে অংশ নিন এবং decentralized technology-র ভবিষ্যৎ গড়ে তোলার যাত্রায় যুক্ত হোন। চলো, বাংলাদেশের Web3 community-কে বিশ্বজুড়ে পরিচিত করে তুলি! 🇧🇩🌍 Discover GenLayer. Explore the ecosystem. Build the future together @GenLayer

Lets Taik about @SurfAIHQ Just joined Surf AI, and one thing that caught my attention is the smooth chat board experience Surf AI is an exciting project to explore as AI continues to evolve A smooth and user-friendly chat experience makes it easier for the community to interact, share ideas, and stay connected with the project I’m looking forward to exploring more of Surf AI, learning about its ecosystem, and seeing what the team builds next The AI space is moving fast, and I’m excited to be part of the journey Let’s see where Surf AI goes from here

Try to increase Robotic generation with @PrismaXai The future of Physical AI is moving forward The Pi API is now entering beta opening new possibilities for teams building intelligent robots and real-world applications The next era of robotics is taking shape, and it’s exciting to see what builders will create with the Pi API From harvesting strawberries to assembling servers, Pi’s models are being adapted to tackle complex tasks across diverse industries Now, more teams can access this technology, experiment with new ideas, and build the next generation of robotics applications

That’s why I’m excited about the potential of projects building the foundation for the next generation of AI. Every useful dataset The next AI revolution won’t just happen on our screens It will happen in the physical world every validated interaction, and every improvement brings us one step closer to smarter and more capable machines Physical AI needs more than powerful models. It needs high-quality real-world data, reliable validation, and continuous improvement to help intelligent systems understand how the world works The future is being built one interaction at a time @GenLayer

Alhamdulillah not bad Thnx @NeoSoulAI

gSurf Surf NFT collection is live nft.asksurf.ai/ Claim window is 30 days from now @SurfAIHQ

Just joined SurfAI @SurfAIHQ and I'm excited to explore a new journey in the AI ecosystem Let's build, learn, and grow together The AI space is evolving rapidly, and I believe the future belongs to those who stay curious, keep learning, and actively contribute to promising projects I'm here to explore what SurfAI is building, connect with the community, share insights, and grow alongside others who believe in the potential of AI Every new project is an opportunity to learn something different, discover new possibilities, and be part of something bigger This is just the beginning. Looking forward to the journey ahead with SurfAI

PrismaX robot Movement is aamzing Lets builld it @PrismaXai PrismaX is building a new foundation for Physical AI by connecting human expertise, robotics, and community-powered data validation he future of robotics depends not only on smarter models, but also on better real-world data. PrismaX is working to bring these pieces together, one interaction at a time Every robot interaction can teach AI something valuable about the physical world. Through remote teleoperation But collecting data is only the beginning. PrismaX validators and community reviewers help identify reliable episodes, assess data quality, and ensure that useful demonstrations are ready for the next stage of AI development The combination of human-guided data collection, collaborative quality verification, and accessible robotics infrastructure creates a powerful feedback loop for improving intelligent machines From operating robots remotely to reviewing datasets, every contribution can play a meaningful role in advancing Physical AI

Let's make @PrismaXai Most people talk about AI models but few talk about the infrastructure that helps AI understand the real world This is where PrismaX validators become an interesting part of the ecosystem PrismaX is building around real-world multimodal data for robotics and physical AI. In this kind of ecosystem, validators can play an important role in maintaining data quality, checking reliability, and supporting trust across the network A strong validator network is not just about processing tasks. It is about helping ensure that the information used to train and improve AI systems is accurate, consistent, and useful for real-world applications As robotics evolves, reliable data verification could become just as important as model performance itself The future of physical AI needs more than intelligence. It needs trustworthy data, transparent validation, and infrastructure that can scale That is why I’m keeping an eye on PrismaX and its validator ecosystem. The real opportunity lies in connecting high-quality real-world data with AI systems that can actually interact with the physical world PrismaX is building toward a future where AI doesn't just understand words it understands the world around us

What does a @PrismaXai Validator do? According to PrismaX’s official explanation validators are human reviewers who check whether robot demonstrations meet the required quality standards Watch robot demonstrations: Review videos of robots performing tasks Check data quality: Identify mistakes, failed grasps, or demonstrations that do not match the assigned task Score or reject data: Decide whether a demonstration is good enough for AI training Help improve AI: Ensure robots learn from reliable, high-quality demonstrations Important: This is different from a traditional blockchain validator that validates transactions or blocks

🇧🇩 PrismaX Bangladesh Community Event 🇧🇩 🎯 ইভেন্টের নাম: Guess The Park এবার দেখা যাক, ছবির পার্ক/জায়গাগুলো থেকে কে সবচেয়ে দ্রুত সঠিক উত্তর দিতে পারে! 👀🔥 📅 তারিখ: ৯ অক্টোবর, শুক্রবার ⏰ সময়: রাত ৯:৩০টা (BD Time) 🎙️ Host: Synth & Dictator 🤝 Co-Host: Shifu বাংলাদেশ কমিউনিটির সবাইকে আমন্ত্রণ জানাচ্ছি। 🇧🇩 নিজের observation skill কাজে লাগান, বন্ধুদের সঙ্গে প্রতিযোগিতা করুন এবং দেখুন কে সবচেয়ে বেশি সঠিক উত্তর দিতে পারে! 🧠🎯 দেখা হবে ইভেন্টে! ❤️ @PrismaXai

It's time to Robotic world with @PrismaXai The future of AI won’t just understand words it will understand the world PrismaX focuses on real-world multimodal data that helps AI understand, perceive, and interact with the physical world PrismaX is working to bridge the gap between advanced AI models and real-world adoption next generation of visual AI and robotics From visual understanding to robotic intelligence Unlike traditional AI models that rely heavily on text and web data

→ Real-world robotics data → Multimodal information → Quality verification → Human feedback → Distributed validation → Better training data for better robot intelligence All in @PrismaXai

What do you Think @fhenix 21 October Let's goo

Robotics is moving beyond controlled environments @PrismaXai Real-world data → Better models → Better robots → More capable AI systems The future of robotics won’t be built only from simulations and real-world data is becoming the key to building truly capable robots What looks like simple household tasks can actually represent complex robotic challenges: understanding the environment, recognizing objects, planning actions, controlling movement, and adapting to unexpected situations From storing socks in organizer compartments to operating a hand-actuated toilet flush, opening drawers and retrieving objects, and hanging clothes, these everyday interactions provide valuable examples of how robots can learn to navigate and manipulate the real world

time to Tweet About @PrismaXai The future of robotics is being trained today PrismaX is proud to be a capstone partner of the University of Pennsylvania’s GRASP Lab Excited to see what the researchers at GRASP Lab build with PrismaX Robotics Data Together, we’re exploring reinforcement learning for adaptive robot policies, with PrismaX Robotics Data supporting the research This collaboration brings industry and academia closer, creating new opportunities to explore how high-quality robotics data can contribute to more adaptive, capable, and intelligent robotic systems From research labs to real-world applications, the next generation of robotics will be shaped by strong collaboration between researchers, engineers, and the data powering their experiments

Happy Weekend @PrismaXai Builder Validate data Earn points Contribute to better AI & robotics Be part of the growing PrismaX ecosystem Every validation matters Time to start validating A new step forward for building high-quality, real world data for the next generation of AI and robotics With PrismaX, the community can now actively participate in the data validation process helping improve the quality, reliability, and usefulness of multimodal datasets As AI moves closer to understanding and interacting with the real world, high-quality data becomes one of the most important foundations. PrismaX is creating a system where contributors can play a direct role in improving that foundation while being rewarded through points

Something happening on @fhenix stay with encryptoors Build your encrypt world