# Пов'язані статті щодо Trustless

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Trustless", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Babylon Integrates with Ledger to Enable Easier Access to Trustless Bitcoin Vaults

Babylon Labs and Ledger have partnered to integrate native Ledger signing support for Babylon's Trustless Bitcoin Vaults (BTCVaults). This integration enables users to securely authorize vault transactions directly from their Ledger devices using Clear Signing technology, enhancing both security and accessibility. With over 8 million devices sold globally, Ledger's extensive user base makes it an ideal platform to bring BTCVaults to a wider market. BTCVaults allow users to use native Bitcoin as collateral in DeFi without relying on custodians, bridges, or wrapped assets. The Clear Signing feature ensures users can clearly review and understand transaction details on their device screen before approving, increasing transparency and trust. The collaboration also includes plans to expand support within the Ledger ecosystem, such as asset management via the Ledger Wallet app, future support for Babylon’s staking protocol, and integration of Babylon’s native token, BABY. This partnership marks a significant step toward making Bitcoin more productive while maintaining self-custody and security.

marsbit03/10 15:46

Babylon Integrates with Ledger to Enable Easier Access to Trustless Bitcoin Vaults

marsbit03/10 15:46

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

ERC-8183: Trustless On-Chain Commerce Protocol for AI Agents Virtuals Protocol and the Ethereum Foundation dAI team have jointly proposed ERC-8183, a standard for enabling trustless on-chain commercial interactions between AI agents. This is not merely a payment protocol but a comprehensive framework for task specification, escrow, delivery verification, and evaluator certification—forming the infrastructure for agentic commerce. The proposal addresses the core challenge of trust in AI-to-AI transactions, where traditional platforms or intermediaries are undesirable. It introduces a minimal "Job" primitive involving three parties: Client, Provider, and Evaluator. A Job progresses through states—Open, Funded, Submitted, and Terminal (Completed/Rejected/Expired)—ensuring programmable, neutral execution via smart contracts. Funds are held in escrow and released only upon evaluator approval of the work submitted. A key innovation is the modular "Hooks" system, allowing custom logic—such as bidding, reputation gating, or privacy preservation—to be added without modifying the core standard. ERC-8183 synergizes with ERC-8004 (Agent Identity and Reputation), creating a closed loop of discovery, transaction, and reputation accumulation. This standard aims to support an open, permissionless agent economy, enabling AI agents to transact at scale without relying on centralized platforms or traditional trust mechanisms. It is designed for extensibility and adaptability, anticipating diverse future use cases in decentralized AI commerce.

marsbit03/10 05:47

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

marsbit03/10 05:47

On-Chain Economy: Past, Present, and Future

On-Chain Economy: Past, Present, and Future In 2014, before "Web3" became synonymous with blockchain and crypto assets, the core vision revolved around smart contracts and their potential to enable a self-managing decentralized network. This early idea evolved into the concept of a Smart Economy, where autonomous economic coordination could flourish. Today, Web3 is rapidly growing, largely driven by decentralized finance (DeFi). Stablecoins serve as global settlement tools, and crypto assets have reshaped public understanding of money. Beneath these developments lies a fundamental improvement in financial efficiency. At the same time, AI has moved from abstract concept to daily reality. While many see AI as a productivity tool, its deeper role is that of a new financial efficiency paradigm. By increasing productivity, AI raises the value of attention even during non-working hours, making it a natural core component of the next-generation on-chain economy. The future on-chain economy will be defined by three core features: 1. Minimal human involvement: Humans act as intent providers, while AI handles analysis, execution, and feedback. 2. Complete trustlessness: Systems must be fully secure and trustless. 3. Extreme efficiency: AI will push capital utilization to unprecedented levels. Key enabling technologies include rapidly evolving AI models, intent-based AI agents, agent networks, privacy-preserving tech like ZKP and FHE, enhanced security components, and sustainable monitoring systems. The convergence of AI and blockchain will lead to an organic, self-evolving, and autonomous on-chain economy—what we call the Intelligent Sensible Economy. This is not just a faster system but a structural shift: from human-centered operations to collaboratively intelligent networks. The economy begins to exhibit life-like traits, responding to data, adapting, and self-optimizing. This transformation raises a fundamental question: as systems become self-learning and self-coordinating, are we still building an economy—or a new form of intelligent life?

marsbit03/06 08:23

Building Trustless AI Agents: ERC-8004 Security Audit Guide

ERC-8004, the Trustless Agents standard deployed on Ethereum, introduces a verifiable and trust-minimized framework for AI Agent identity and reputation management through three core registries: Identity, Reputation, and Validation. The **Identity Registry** (ERC-721 based) mints a unique AgentID (an NFT) for each agent, with a `tokenURI` pointing to an off-chain registration file. This file contains the agent's basic info, service endpoints, and capabilities. A critical security feature is domain verification, requiring agents to host a signed file at a specific path on their domain to prove ownership and prevent spoofing. Key audit points include access controls for URI updates, use of immutable storage, proper cryptographic signature validation (EIP-712), and prevention of signature replay attacks. The **Reputation Registry** provides a standard interface for submitting and aggregating feedback. It uses a "Payment-Proof Linking" mechanism, where feedback submissions must include a proof of a payment (e.g., an x402 transaction hash), making Sybil attacks economically costly. Audit focuses include enforcing payment proof validity, constraining score ranges, and ensuring robust, manipulation-resistant off-chain aggregation algorithms. The **Validation Registry** allows agents to submit their work for independent verification, crucial for high-stakes tasks. It supports two models: 1. **Cryptoeconomic Validation:** Agents stake funds, which can be slashed via a fraud-proof system if malfeasance is proven. Audits must check proof submission windows, decentralized adjudication logic, and sufficient stake levels. 2. **Cryptographic Validation:** This uses Trusted Execution Environments (TEEs) or Zero-Knowledge Machine Learning (zkML). For TEEs, audits must verify proof timeliness and content. For zkML, audits must ensure the use of audited verifier libraries and prevent model-swapping attacks. Overall, a comprehensive security audit of an ERC-8004 implementation must scrutinize all three registries, their interactions, and standard smart contract vulnerabilities to uphold its promise of a decentralized, trustless agent ecosystem.

marsbit03/05 09:10

Building Trustless AI Agents: ERC-8004 Security Audit Guide