🔥 Partnership Announcement! 🔥 🌟Zypher Games is thrilled to announce our partnership with MoveSpace! 🎮 What is MoveSpace? It's an innovative #AI-powered Datahouse for on-chain data labeling & data marketplace. 🎉 Together, we're unlocking new possibilities in the

Super excited to have Zypher Games as the latest gaming project in our pipeline to support use of labeled and AI data! 🎮 With Zypher Games, we unlock a diverse set of use cases including fully on-chain games with vector data and data processing, making data engineering

🔥 Partnership Announcement! 📷 MoveSpace is thrilled to announce our partnership with Gabby World , an LLM-powered AIGC Autonomous World game! With MoveSpace's vector database and data labeling solution, we hope to help Gabby World unleash the power of AIGC in Web 3

Very excited to partner with MoveSpace in building the decentralised vector database to store memory for our on-chain AI characters, Gabbies. Soon enough, your NFT avatars will be able to develop its free will by running the metadata through LLM. How revolutionary is that?

"Devconnect后记，一窥以太坊的昨日、今日和未来” 本期Space（12月5日，20:00，UTC+8），我们将围绕 以太坊生态中Blast搅动下的L2新竞争格局、Staking与Restaking、Autonomous World和全链游戏等主题展开讨论。深度探讨以太坊生态的发展现状和未来。 👉Space链接：x.com/i/spaces/1OdKr…

Proud to introduce MoveSpace AI Explorer powered by MoveSpace vector database, currently powering Bodhi, a content marketplace built on Arweave and OP. bodhi.movespace.xyz is an AI-powered search engine that allows anyone to search through the content on Bodhi's

Last year, we were very fortunate to partner with a lot of amazing projects! Our ecosystem and community have shown tremendous growth since then. 🤝 In 2024, we're looking forward to partnering with more potential projects that align with our core values. #GabbyWorld

🎆2024 is the Future: #SpringX Singapore Private Party is coming this Friday! We're excited to collaborate with @scaling_x ABCDE Highlight💡 imagine labs and Cointime to host an exclusive event tailored for both crypto investors and founders. RSVP here ▶

MyShell.AI Glows.ai .MoveSpace on-chain data labeling with a marketplace, MoveSpace uses BSC and BNB Greenfield for secure, cost-efficient data storage and trade. This promises to revolutionize data readiness and quality AI model training. 🌐 🦾

#SpringX01 makes a triumphant return in 2024 in Singapore🇸🇬! This edition boasts 5 co-initiators, 5 special mentors, delivering insightful sessions on market #growth, team management, financing #narratives, #compliance, and safety. More on: link.medium.com/cq5TDwnIqGb

🔥Honored to be selected into the Top 5 Decentralized AI Projects on BNB Chain 🧊Glacier DeVector, a decentralized #vector database, is built on #BNBGreenfield and seamlessly integrates into the #LangChain AI ecosystem.

As a past BNB Chain hackathon winner, we deeply appreciate the ecosystem & technical support that the BNBChain has provided alongside our building journey on the Greenfield & opBNB stack. And we highly recommend teams that are committed in long-term Web 3 building to participate

We are thrilled to announce our integration & ecosystem partnership with Glacier Network 🧊 $GLS to power MoveSpace's AI data labeling & review platform & more next-gen Web 3 AI & data applications in the @BNBChain ecosystem. 🌐About Glacier Network 🌐 Glacier is a scalable data network

✨Thrilled to share that MoveSpace has integrated with Glacier Network 🧊 $GLS for AI Data Labeling. 🔥MoveSpace is an AI-powered Web3 business review & data label platform, utilizing Glacier VectorDB for vector data management in BNB Chain ecosystem. medium.com/@glacierlabs/m…

🌟 Dive into our two-day Space journey exploring the future of Chinese projects in 2024! 🚀 Host: Greythorn Asset Management 🌱 @scaling_x BuidlerDAO ⏰Day 1: Jan 29, 8:00 PM (Beijing Time) 🎙️ Featuring Speakers: ～ 韭菜兄弟, Researcher & KOL @scaling_x ～ Ryan, Co-founder of Greythorn Asset Management 🌱

As more industry veterans look into the co-play of AI & blockchain, more established figures like vitalik.eth are looking into use case like data labeling, as Vitalik openly explores this verticle in his latest article. One of the issues with on-chain data training is