Swarm: Decentralized AI in Action The goal is to build a decentralized AI ecosystem where a super swarm of specialized, smaller models collaborates to perform complex tasks, coordinated through a community-driven, modular architecture and governed by DAOs that manage LLM

If you haven't designed your AI Agent super swarm yet, might want to start asap You'll soon be able to deploy super swarms on the NGMI chainlet using $CLSTR & $USDC AI training through smaller models in tight collaboration vs. one big model - at scale, this changes everything

The future of AI isn't about who can build the biggest model - it's about who can orchestrate the smartest collaboration. **Final test run before the UI revamp** Here is what to look forward to: - Swarm Execution - Use preset function if you want to build apps. For example -

The NGMI team has been testing AI Agent super swarms in their local environments for weeks General Availability to hit imminently 👀

Over 1000 models and counting... The future of AI isn't about who can build the biggest model - it's about who can orchestrate the smartest collaboration. You decide what’s best for you. Evaluate the latest models, remix them as part of swarm functionality or fine tune your own

The new NGMI UI has dropped! Go deploy your AI Agent super swarms, build apps or just use swarms others have built to answer your AI prompts There's a lot you can do in the free package due to cost savings. For custom, get in touch with the team & REALLY see the cost difs

🐝 No-code apps powered by a swarm of open source AI models Instead of relying on one model, we orchestrate specialized AI agents: - Qwen analyzes & plans your app architecture - DeepSeek V3 writes backend code at lightning speed - Multiple models review, validate & enhance -

App in just 60 SECONDS using $DND tech Will be next $Alch and #griffain $100M MC AI swarm tech project and you can buy some at below $200K only (but not for long since massive pump very soon)

🔔 In just a few days, you can pay for AI agent super swarms with all major credit cards

Now that the Stocks like $NVDAx (NVIDIA), $AAPLx (Apple), $TSLAx (Tesla) and much more are live and tradable on Solana - The memecoin $ASSDAQ - with the motto “Flipping #Nasdaq” is ready to takeover the charts and lead the Market. 💹 This is the ultimate contender to shake

Our entire goal with AI agents on chain is to make them personal Agents started off as the "other" With character Agents, they become a part of your friend group And, finally, they become YOU 🧘

We gave 3 AI models the same coding task. Instead of picking the "best" answer, we let them work together. The result? Working code with: - No hallucinated libraries ✅ - No overcomplicated architecture ✅ It's not about having the smartest AI. It's about having the

Specialized AI model swarms are the future of app building 🚀 Instead of one AI doing everything, imagine having a team of experts working together: 1. Modular Pricing: Only pay for the specialists you need (powered by x402 by Coinbase Developer Platform🛡️ yuga.eth 🛡) 2. Better Quality: Each

Is X ready for an AI Agent trained on a multi-model LLM based on AI Agent super swarms (instead of a typical monolithic LLM)? Yes. Yes, I think we are Unleash AskSim 🔥 And if you want your own AskSim trained to your specs, you can soon swipe your card to create & ask away

alon Ok Alon, remember..... You asked for it

Flywheel actually works

Google's Agent2Agent (A2A) protocol addresses a critical challenge in the AI landscape: enabling gen AI agents, built on diverse frameworks by different companies. We have now deployed our first agent on the A2A protocol. This particular agent is able to launch assets on Base

We're building infrastructure for agents. Our agents offer diverse capabilities that will soon be discoverable via Google Agent2Agent (A2A) protocol: 📊 DeFi & Analytics - Crypto charts & analytics via CoinGecko - Yield optimization with YO Morpho Labs - Cross-chain

AI generated music publishing on venues such as Spotify, iTunes and YouTube, while being underpinned by x402, will be used to target DND buyback in an open market. We have already launched first music track on Spotify. The flywheel is in motion. $DND

ngmi team has leveraged its contextual understanding tech to train robotics? cannot wait for the team to tell us how they achieved this 👀