MIT Media Lab

👉 The Internet‑of‑Agents (IoA): 📌 Reference Architecture Layers for NANDA (Networked Agents And Decentralized AI)... continued ➡️ See previous NANDA post: https://t.co/W93NwjNA7D • Goes beyond protocols: NANDA is building the "Internet of AI Agents" – a decentralized network where AI can seamlessly communicate, discover, and transact. -------- ✍️ Why this matters for AI Product & IT Leaders ↳ Speed to market – Plug‑and‑play layers let you launch new agent‑powered products in weeks, not quarters. ↳ Resilience – No fortress‑style central servers; the network heals itself. ↳ New revenue – Monetize idle compute & niche data, or buy exactly what you need on‑demand. ↳ Trust by design – Privacy, governance, and incentives aren’t bolted on—they’re baked in. Layers 5️⃣ |  Crowd UX (Friction‑Less) ● What it does → Gives people and organizations a single, friendly portal to discover, explain, and control thousands of autonomous agents. ● Why care → Faster adoption, lower support costs, clear consent flows, and reputation dashboards that build trust with end‑users. 4️⃣ |  Orchestration (Coordinator‑Less Overlay) ● What it does → A self‑organizing mesh that routes jobs, forms “smart swarms,” and schedules training/inference—without a central server bottleneck. ● Why care → Elastic scale on day 1, no single‑point failure, and the freedom to drop new models into the network exactly where they add the most value. 3️⃣ |  Incentive Layer (Broker‑Less) ● What it does → Token/credit ledger that rewards data, compute, and model contributions; backed by zero‑knowledge proofs to prevent freeloaders. ● Why care → Turns dormant assets into ROI, aligns multiple stakeholders, and bakes compliance & accounting into the protocol instead of post‑hoc paperwork. 2️⃣ |  Verifiability & Privacy (Trust‑ & Breach‑Less) ● What it does → Homomorphic/MPC service mesh + confidential compute for end‑to‑end encrypted collaboration, with attestation ledgers to prove nothing was tampered with. ● Why care → Share‑and‑learn across silos (health, finance, supply‑chain) while still hitting GDPR/CCPA, audit, and IP‑protection requirements. 1️⃣ |  Agent Fabric (Edge–Cloud Continuum) ● What it does → Where the agents actually run—on NPU PCs, phones, edge gateways, or cloud micro‑VMs—plus shared primitives (vector DBs, plug‑ins, wallets). ● Why care → Push AI right next to the data for low latency and data‑sovereignty, yet stay interoperable through common “skill” plug‑ins. 0️⃣ |  Resource Layer ● What it does → The raw stuff: GPUs/NPUs, distributed storage, off‑chain databases. ● Why care → Abstracts the hardware jungle so you can provision, meter, or swap providers without refactoring code. 📗Source: MIT Media Lab https://t.co/tJsO2VpF4X ------ ✨ The future of AI is Agentic! 🌈 Learn more: Join the industry's only AI Agent Ops Dedicated Group: https://t.co/yFNcVWjBEm 👍🏻 Like | 💬 Comment | ♻️ Repost

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F5T33k3FG3zmmUhGn1UCu8SrD3xxsH3YDcPxikUVpump🔍 Market Cap:22k7 Networked Agents DeAI (NANDA) NANDA: The Internet of AI Agents Pioneering the Future of Decentralized Intelligence Imagine billions of specialized AI agents collaborating across a decentralized architecture. Each performs discrete functions while communicating seamlessly, navigating autonomously, socializing, learning, earning and transacting on our behalf. https://t.co/cdyQzTdsoK

decentralized ai needs its own stack so a team out of the @medialab built one NANDA is an open protocol for running and coordinating agentic systems across distributed infrastructure interestingly, the protocol takes a post-blockchain design, avoiding certain crypto rails as they are: - too slow for agent-level coordination and inference workloads - poorly suited for nuanced verification (e.g., contribution quality, not just resource expenditure) - economically primitive (over-indexed on tokenomics and underpowered for richer incentives like reputation, stake-weighted coordination, or fine-grained task validation) NANDA explores a path away from centralized AI while also avoiding the fragility of blockchain dependencies before fomoing into the next $1bn+ val decentralized AI network fundraising round with your favorite crypto VCs, think again... decentralized AI doesn't have to be path-dependent on crypto

Catching up with my old friend, Prof Ramesh Raskar at MIT (@raskarmit). And learning more about NANDA, The Internet of Agents. “Imagine billions of specialized AI agents collaborating across a decentralized architecture. Each performs discrete functions while communicating seamlessly, navigating autonomously, socializing, learning, earning and transacting on our behalf.” https://t.co/W6OCaGWzJT