Read more about our Statur and Fluxion proposal here:

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💡 Future Plans: While we may not be decentralizing AI right now, we believe the infrastructure we're building could serve as a launchpad for more ambitious, decentralized AI projects in the future. (13/14)

🙏 Thanks for engaging with us on this fascinating subject. We're excited for what the future holds and would love for you to be a part of it! #Iagon #CloudComputing #Decentralization (14/14)

📚 Resource Market: Our marketplace offers computational resources, which allow you to build, tweak, and scale your machine learning models. Think of it like an app store, but for computational assets and pre-trained machine learning models. (8/14)

🛠️ Iagon's Solution: We're laying a foundational network where decentralized computing can be more secure and efficient. We're doing this via game-theoretic micro-economic models and employing blockchain tech for added security. (7/14)

🔁 Model Sharing: Decentralizing AI could involve sharing machine learning models among various nodes. This presents concerns like how to update models uniformly, ensure quality, and prevent fraudulent activities. (5/14)

🌐 Network Latency: Decentralized systems can sometimes suffer from slow data exchange, affecting real-time decision-making capabilities of AI models. (6/14)

🔒 Data Security: When data is decentralized, it's scattered across multiple nodes, making it hard to compromise. But the challenge here is maintaining the privacy of data while still making it accessible for shared learning. (4/14)

🤖 Now, on to decentralizing AI. The concept comes with unique challenges such as data security, model sharing issues, and network latency. (3/14)

👋 Hey @stockjupiterr , thanks for bringing up the topic of decentralizing #AI! We appreciate the thoughtful query. It's a complex issue, but we're committed to navigating it. Buckle up for a deep dive! 🤓 (1/14)