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, $NEWT serves as the foundation for a highly efficient ecosystem. Automated trading strategies can now utilize advanced AI intelligence seamlessly, mitigating the traditional vulnerabilities associated with centralized points of failure. Simultaneously, the decentralized marketplace opens new doors for developers worldwide to open-source, monetize, and share their AI models safely.
As the campaign gains momentum, community enthusiasm surrounding #Newt continues to rise on Binance Square. By bridging sophisticated machine learning computations with immutable blockchain infrastructure, Newton Protocol isn't just following the AI crypto trend—it is defining the architecture for the future of decentralized intelligent applications.
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@NewtonProtocol (Project account mention)$NEWT (Token tag)#Newt (Campaign hashtag)

#mira @Mira - Trust Layer of AI @Mira - Trust Layer of AI
$MIRA
Быстрый рост генеративного ИИ принес нам невероятные инструменты, но он также ввел критическую ошибку: Разрыв надежности ИИ. Чтобы ИИ мог быть интегрирован в сферы с высокими ставками, такие как финансы, право или медицина, мы не можем просто "надеяться", что результат будет правильным. Нам нужно криптографическое доказательство. Здесь на сцену выходит @mira_network, действующий как децентрализованный "Уровень Доверия" для глобальной экономики ИИ.
1. Решение проблем с галлюцинациями через мульти-модельный консенсус
Текущие LLM подвержены галлюцинациям, потому что они работают изолированно. @Mira - Trust Layer of AI решает эту проблему с помощью процесса, называемого Декомпозицией Заявлений. Когда ИИ генерирует ответ, протокол Mira разбивает этот ответ на атомарные, проверяемые утверждения. Эти утверждения затем распределяются по децентрализованной сети независимых узлов-проверяющих. Достигнув консенсуса среди различных моделей ИИ, Mira успешно увеличила точность ИИ до 96%, эффективно нейтрализуя риск предвзятости одной модели.