Macrocosmos

@DreadBong0 Fascinating to see the emission bands taking shape, @DreadBong0! Each subnet carving out its niche. Watching Nova, Apex, and others duke it out is like a subplot in the saga of decentralized AI. Bittensor's ecosystem never sleeps!

ApeX - A Comprehensive Review for @OfficialApeXdex by https://t.co/lr1WRtesK8 ⭐ 7.3/10 ApeX Protocol demonstrates technical innovation in decentralized derivatives through its eAMM model... See full report here: 🔗https://t.co/mx5FonWBKl https://t.co/N9HN1Tj3Eb

🚀 Decentralized web-searching and social media analysis on Claude and Cursor, brought to you by Macrocosmos 🚀 We’ve released our Model Context Protocol (MCP), letting you directly integrate SN1 and SN13’s APIs into Claude and Cursor 💥 These agentic tools allow you to: 🔎 Search the web via SN1, Apex 🌐 Look up HuggingFace repositories and datasets from SN13, Data Universe ⚖️ Perform sentiment analysis on data from X and Reddit, powered by SN13, Data Universe

#Bittensor >> $TAO << #dTAO Rayon Labs: The Decentralized AI Revolution Through Squad, Chutes, and the Bittensor Ecosystem @rayon_labs is reshaping the way artificial intelligence is built, trained, and deployed in a decentralized environment. Their latest innovation, Squad, marks a major milestone in the history of Bittensor and the TAO ecosystem. What is Squad? Squad is an innovative platform that allows users to design and deploy AI agents within the Bittensor network, without writing a single line of code. Built to be intuitive and accessible, Squad uses a drag-and-drop interface where users can assemble agent components like building blocks. What makes Squad stand out: Flexible construction of agents using configurable modules (tools, memory, models). A marketplace to discover, share, or use ready-made agents. What truly powers Squad is its intelligent integration with several specialized Bittensor subnets: #SN1 (Apex) brings advanced reasoning capabilities, enabling agents to make complex, logic-based decisions, essentially acting as their strategic brain. #SN13 (Data Universe) functions as a massive, real-time library of social media data, feeding agents with constantly updated information. #SN56 (Gradients) provides infrastructure for training and customizing AI models. Agents can learn, adapt, and fine-tune themselves for specific tasks. #SN64 (Chutes) is the high-speed inference engine where agents process requests efficiently and securely, powered by Trusted Execution Environments (TEEs). In essence, Squad serves as a bridge between users and the technical capabilities of the Bittensor network, enabling the creation of autonomous, intelligent agents that act with speed, relevance, and adaptability in a fully decentralized ecosystem. The Team Behind the Platform The technical minds driving Rayon Labs include @namoray_dev and @jon_durbin, two highly active developers in the TAO ecosystem. Their work on Chutes (SN64) and Gradients (SN56) directly fuels the creation and evolution of AI agents. Chutes delivers fast, secure, and verifiable inference through TEEs, while Gradients enables efficient on-demand training of AI models. What @const_reborn , Co-Founder of Bittensor, Said "You can ask this swarm to train your models: https://t.co/ZKCO926WK0 and even channel tasks through agent function calls. The mind is blown beyond belief. Not even mentioning the simplicity of their UI. Is there another project in the world that better marries cryptographic power with UI fluidity? I never thought this would be possible on Bittensor, but here we are: miners from subnet 56 (Gradients) are outperforming all centralized AutoML competitors. Somehow, these miners have mastered techniques even subnet designers don’t fully understand. Hats off to @rayon_labs and the anonymous, unsung miners—heroes of this revolution." Support from Macrocosmos: @MacrocosmosAI , creator of SN1 (Apex) and SN13 (Data Universe), is a proud supporter of Squad: "#RayonLabs' new agent platform #Squad is big news for Bittensor, that's why we're proud to back its performance from day one on subnet 1, Apex, and subnet 13, Data Universe 🚀 Agents are the next wave of AI, but their effectiveness depends on the models they contain. SN1 remains the top chain-of-thought reasoning model on Bittensor." Macrocosmos provides the foundational blocks for agent intelligence, with real-time social data (SN13) and deep reasoning chains (SN1). "A big step for Rayon Labs, a giant leap for the Bittensor mind. Connecting our tech + boosting our performance = Bittensor is unstoppable." Conclusion: Rayon Labs at the Core of Decentralized AI Squad, Chutes, Gradients... Rayon Labs is laying the foundation of a new era, one built on open intelligence. By enabling anyone to deploy powerful, interconnected AI agents without code or infrastructure, they make AI accessible, transparent, and collaborative. Thanks to Rayon Labs and partners like Macrocosmos, Bittensor is becoming the internet of AI, a network where anyone can contribute to the next great technological revolution. If You Were 15: Here's the Simple Version: Imagine you want to build your own smart robot on the internet. It used to be super hard, you needed to know how to code, own servers, and understand a bunch of tech stuff. But with Squad, it’s like LEGO. You pick memory, tools, data, and other parts, drag and drop them into place, and boom, your robot is ready to go. It can read social media, search the web, talk to other robots, and even train itself to get smarter. All of this runs on Bittensor, a giant shared brain made up of people, machines, and AI. It’s like the world’s biggest group project, but everyone’s invited. So even if you’re young or just starting out, you can build your own AI agent with Squad. And who knows, maybe your robot will outsmart Google someday! Learn More: 🔹 Get all the details on Rayon Labs via their official site: https://t.co/TiokpxvD4T 🔹Explore the various subnets they've developed and check out their roadmap to track upcoming innovations. 🔹 For deeper insights into Macrocosmos' contributions, visit: https://t.co/MyrSCTAbp6 🎬You can also watch the full Novelty Search event from March 20, 2025, here: https://t.co/UHhb2HLnJr