Usman Uddin

The launch of the Newton Mainnet Beta introduces a structural paradigm shift in how decentralized networks handle automated workflows and smart contract authorization. Developed with a vision to build a public compute layer for Web3, the project changes traditional execution by introducing a pre-transaction authorization framework.
Historically, decentralized finance (DeFi) has operated on a reactive basis—transactions are broadcasted, and networks accept or reject them based on post-execution outcomes. By moving decision-making upstream, @NewtonProtocol allows developers and institutions to evaluate intent, compliance, and custom risk parameters before settlement occurs on the underlying layer.
Core Features of the Architecture
Programmable On-Chain Automation: By combining account abstraction principles (such as ERC-4337 and EIP-7702), the protocol lets users safely delegate complex tasks—like portfolio rebalancing, cross-chain yield optimization, or delta-neutral strategies—to AI agents without sacrificing control.Verifiable Infrastructure: To ensure off-chain calculations remain trustless and secure, the infrastructure leverages Trusted Execution Environments (TEEs) and zero-knowledge proofs (ZKPs). This guarantees that autonomous workflows run exactly according to predefined user rules.Public Service Registry: Operating as a global registry for computational and risk-assessment resources, it allows open ecosystem collaboration where individual node operators, oracle providers, and developers can list or compose distinct compute services.
By securing its Actively Validated Service (AVS) layer via crypto-economic restaking mechanics, the platform delivers credible neutrality for institutional and retail users alike. As the ecosystem expands across major networks like Ethereum and Base, the utility of the native token $NEWT sits at the center of governance, task payment, and network validation incentives.
The live Mainnet Beta presents an essential testing ground for developers eager to construct the next generation of risk-aware, automated dApps.

The convergence of Artificial Intelligence and decentralized blockchain technology is reshaping the digital landscape. At the center of this movement is @NewtonProtocol, an innovative network built to establish a highly secure rollup tailored specifically for AI-driven strategies, automated trading protocols, and a decentralized marketplace for global AI developers.
With the rollout of the Newton Mainnet Beta, the project introduces a robust infrastructure where developers can securely deploy, execute, and scale AI models. Complex AI algorithms demand top-tier security and fluid scalability. Newton Protocol tackles these core challenges by leveraging advanced rollup architecture, ensuring high-speed on-chain processing without compromising data integrity or security.
For traders, investors, and developers alike, $NEWT serves as the foundation for a highly efficient ecosystem. Automated trading strategies can now utilize advanced AI intelligence seamlessly, mitigating the traditional vulnerabilities associated with centralized points of failure. Simultaneously, the decentralized marketplace opens new doors for developers worldwide to open-source, monetize, and share their AI models safely.
As the campaign gains momentum, community enthusiasm surrounding #Newt continues to rise on Binance Square. By bridging sophisticated machine learning computations with immutable blockchain infrastructure, Newton Protocol isn't just following the AI crypto trend—it is defining the architecture for the future of decentralized intelligent applications.
Important Note before posting: Make sure you use the Article Editor (long-form tool) and verify that these three elements are properly hyperlinked/tagged in your text:
@NewtonProtocol (Project account mention)$NEWT (Token tag)#Newt (Campaign hashtag)

#mira @Mira - Trust Layer of AI @Mira - Trust Layer of AI
$MIRA
La montée rapide de l'IA générative nous a apporté des outils incroyables, mais elle a également introduit un défaut critique : le fossé de fiabilité de l'IA. Pour que l'IA soit intégrée dans des secteurs à enjeux élevés comme la finance, le droit ou la médecine, nous ne pouvons pas simplement "espérer" que la sortie est correcte. Nous avons besoin d'une preuve cryptographique. C'est ici qu'intervient @mira_network, agissant comme la "couche de confiance" décentralisée pour l'économie mondiale de l'IA.
1. Résoudre les hallucinations via le consensus multi-modèles
Les LLMs actuels sont sujets aux hallucinations car ils fonctionnent de manière isolée. @Mira - Trust Layer of AI résout ce problème grâce à un processus appelé décomposition des revendications. Lorsqu'une IA génère une réponse, le protocole Mira décompose cette réponse en revendications atomiques et vérifiables. Ces revendications sont ensuite distribuées à travers un réseau décentralisé de nœuds vérificateurs indépendants. En atteignant un consensus entre des modèles d'IA divers, Mira a réussi à augmenter la précision de l'IA à 96 %, neutralisant efficacement le risque de biais d'un seul modèle.