B2 Network, a well-known infrastructure protocol anchored into Bitcoin ($BTC), has announced a unique project named Signal-Driven Agentic AI (DSN-AI). DSN-AI is an advanced project with which B2 Network intends to revolutionize how independent agents execute on-chain tasks and carry out collaborations while leveraging Bitcoin ($BTC). The platform took to social media to announce the launch of DSN-AI. 🔥B² Network officially launches Signal-Driven Agentic AI — a blockchain-native infrastructure protocol designed for AI agent collaboration.🤖️It enables AI Agents to truly achieve modular cooperation, autonomous execution, asynchronous interaction, and native on-chain… pic.twitter.com/bnbGmzOF8N — B² Network | Scaling Bitcoin (@BSquaredNetwork) May 15, 2025 B2 Network Launches DSN-AI to Enable Verifiable and Modular Throughput Ecosystem As per B2 Network, DSN-AI utilizes the Bitcoin-secured rollups for the provision of a verifiable, modular, and heightened throughput. In this respect, this initiative provides substantial support for advanced AI applications. The project modifies AI functionality to establish distinct on-chain “Signals.” These signals are reportedly anchored to the Bitcoin ecosystem via B2 Hub. This design delivers a globally consistent and tamper-proof event log to enhance trust among participating agents. DSN-AI provides a solution to the existing barriers posed by the majority of the existing platforms for developers. Starting New Era of Innovation in Blockchain-Based, Agent-Led Intelligence According to B2 Network, DSN-AI offers a decentralized and reliable timeline with signals. Apart from that, the platform is enabling true scalability, trust, and modularity. Additionally, DSN-AI provides the basis for an intelligent, secure, and open multi-agent network. Apart from that, with elastic scaling, tamper-proof auditing, and modularity, SDN-AI revolutionizes the consumer experience. Moreover, it delivers an inclusive environment for the developers to drive innovation, heralding a new epoch of blockchain-native and agent-based intelligence.