# Trust Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Trust", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

In-Depth Explanation of ERC-8183: Ethereum's Solution to the AI Agent Trust Challenge

Analysis of ERC-8183: Ethereum's Solution to AI Agent Trust Issues On March 10, the Ethereum Foundation's dAI team and Virtuals Protocol introduced ERC-8183, a new standard designed to enable trustless commercial transactions between AI Agents. This standard addresses the core problem of how two untrusted Agents can securely complete a "hire-deliver-settle" workflow without relying on a centralized platform. ERC-8183 introduces a "Job" concept with three roles: the Client (task publisher), the Provider (task executor), and the Evaluator (task validator). The Evaluator, which can be an AI Agent, a ZK-verifier smart contract, or a multi-sig/DAO, is the core innovation, determining whether a job is completed or rejected based on submitted proofs. A Job progresses through four states: Open (task creation), Funded (client deposits funds into escrow), Submitted (provider submits work), and Terminal (evaluator approves or rejects, funds are distributed accordingly). The standard also supports modular Hooks for added functionality like reputation checks or bidding systems. ERC-8183 complements other standards like x402 (a payment protocol for Agents) and ERC-8004 (an identity/reputation standard). Together, they form a foundational stack for a decentralized, autonomously operating AI Agent economy, with ERC-8183 specifically solving the trust problem in transactions.

Odaily星球日报03/10 07:43

In-Depth Explanation of ERC-8183: Ethereum's Solution to the AI Agent Trust Challenge

Odaily星球日报03/10 07:43

Brevis Vera is Now Live: Proving "Authenticity" in the Age of AI

Brevis Vera is an end-to-end media authenticity system that enables anyone to verify whether a published image or video originates from a real device and has been edited only in provable, compliant, and legitimate ways. It combines hardware-backed C2PA credentials—which cryptographically bind media to its source device at the time of capture—with zero-knowledge proofs (generated via Brevis Pico zkVM) that attest to the integrity of the entire editing process. Unlike AI-based deepfake detection methods, which are reactive and often lag behind generative advances, Vera takes a proactive approach by allowing media to cryptographically prove its origin and the transformations it has undergone. It addresses the "editing gap" where traditional signatures break after any modification, such as cropping or color adjustment. Vera integrates with open-source editing tools to generate proofs that verify three key claims: the output is derived from the signed original, only permitted edits were applied, and no hidden or malicious changes were introduced. The proofs are generated locally, verifiable by anyone, and preserve the privacy of both the source material and the editing workflow. The system is now live, with initial support for common image transformations. Brevis is working to integrate Vera into mainstream consumer editing applications and has open-sourced the reference implementation.

marsbit03/09 12:37

Brevis Vera is Now Live: Proving "Authenticity" in the Age of AI

marsbit03/09 12:37

a16z: After AI Grants Humans Superpowers, Where Do We Go From Here?

A new paper titled "The Minimal Economics of AGI" explores the economic implications of AI automation, particularly as AI agents evolve from tools into collaborative partners capable of long-horizon tasks. The authors, Christian Catalini and Eddy Lazzarin, argue that the core economic divide will be between automation (tasks that can be measured and automated) and verification (tasks requiring human oversight, judgment, and contextual understanding). Key themes include: - The "coder’s curse": top experts training AI systems may inadvertently automate their own roles over time. - Three future human roles: directors (setting intent), verifiers (domain experts ensuring quality), and meaning-makers (creating cultural and social value). - Cryptocurrency and blockchain are positioned as critical for identity, provenance, and trust in a world flooded with AI-generated content. - Two potential economic outcomes: a "hollow economy" with systemic risk from under-verification, or an "augmented economy" where AI amplifies human potential and reduces costs for education, healthcare, and innovation. - The importance of small, agile teams leveraging AI for outsized impact, with crypto infrastructure enabling coordination at scale. The authors emphasize that AI acts as a force multiplier, granting individuals "superpowers," and urge a focus on verification, adaptability, and ambitious experimentation.

marsbit03/09 11:31

a16z: After AI Grants Humans Superpowers, Where Do We Go From Here?

marsbit03/09 11:31

OmniPact Secures $50 Million to Advance Trust Infrastructure

OmniPact, a decentralized protocol building a trust layer for peer-to-peer transactions, has raised $50 million in a private funding round from a consortium of anonymous institutional investors and family offices. The funds will accelerate the development of its mainnet, cross-chain features, and decentralized arbitration module. A significant portion will support security audits of core contracts, the testnet launch scheduled for Q1 2026, and team expansion to integrate real-world asset (RWA) and AI agent transaction capabilities. Co-founder and CEO Alex Johnson stated that the investment validates their vision of a neutral, transparent, and trustless foundation for commerce. The protocol uses smart contracts as on-chain guarantors, combining algorithmic custody with decentralized arbitration and reputation systems to eliminate intermediaries and enable secure exchanges of both physical and digital assets. Founded in 2024, OmniPact aims to solve the "trust problem" in Web4 and traditional commerce by returning control and security to users worldwide.

TheNewsCrypto03/07 10:36

OmniPact Secures $50 Million to Advance Trust Infrastructure

TheNewsCrypto03/07 10:36

ChangeNOW Is Settling Crypto Swaps in Under a Minute.

Based on Swapzone's 2026 speed benchmarks, ChangeNOW has established a dominant lead in non-custodial crypto swap speeds. While the industry median for a USDT-to-ETH swap is 45 minutes, ChangeNOW completes the same transaction in under 60 seconds—a 45x difference. This speed is critical as it minimizes the risk of price movements during settlement, ensuring users get the rate they see. The company attributes its performance to infrastructure-level optimizations in liquidity routing, aiming to make near-instant settlement a new industry standard for user trust.

bitcoinist03/06 21:32

ChangeNOW Is Settling Crypto Swaps in Under a Minute.

bitcoinist03/06 21:32

KuCoin Tops CryptoQuant 2025 Exchange Transparency Rankings

CryptoQuant's 2025 Annual Exchange Leader Report has ranked KuCoin as the most transparent exchange, awarding it a score of 96.7 (A+) in its proof-of-reserves (PoR) evaluation. The report assessed structural transparency across areas such as public wallet disclosure, user-level balance verification, reporting frequency, and third-party attestations. KuCoin publishes monthly Merkle-tree-based PoR reports verified by Hacken, with over 39 consecutive reports showing reserve ratios consistently above 100%. The exchange’s transparency efforts are part of its broader $2 billion Trust Project, focusing on security, compliance, and user asset protection. CEO BC Wong emphasized that verifiable reserves and third-party validation are essential for building trust. The report also noted KuCoin’s strong growth in spot and derivatives markets in 2025.

TheNewsCrypto03/05 01:58

KuCoin Tops CryptoQuant 2025 Exchange Transparency Rankings

TheNewsCrypto03/05 01:58

When AI Starts Paying for Itself

The article "When AI Starts Paying for Itself" discusses the emergence of the x402 protocol, which enables AI agents to autonomously make micro-payments for services like data and computation. In 2025, Coinbase and Cloudflare revived the long-dormant HTTP 402 status code ("Payment Required") to create a seamless payment layer for the internet. The protocol allows an AI agent to receive a payment request, authorize it with a cryptographic signature, and complete the transaction in under a second—with no human involvement, accounts, or traditional banking infrastructure. Supported by low-cost Layer 2 blockchains and stablecoins, x402 processed over 100 million transactions within months. Its V2 update added multi-chain support and session-based authentication. Google later integrated a similar model into its Agentic Payments Protocol (AP2). However, trust between autonomous agents remains a challenge. ERC-8004, an Ethereum standard, addresses this by providing on-chain identity (via NFT-based IDs), reputation tracking, and task verification systems. The ecosystem faces risks: speculative "x402-themed" meme tokens have surged without real utility, technical vulnerabilities exist, and competing standards from Google and a16z threaten fragmentation. Furthermore, regulatory frameworks for AI-driven transactions are undeveloped. In summary, x402 and ERC-8004 aim to create a trustless, open economic network for AI agents—but must overcome technical, economic, and competitive hurdles to achieve widespread adoption.

marsbit03/04 02:54

Ripple Makes New AI Bet As XRP Ledger Targets Agentic Payments

Ripple has invested in AI infrastructure startup t54 as part of a $5 million seed round, signaling a strategic move into autonomous payments and agent-driven financial systems. The investment aims to integrate the XRP Ledger as a key network for machine-to-machine commerce. t54 is developing a trust layer for the "agentic economy," focusing on verifiable agent identity (KYA), real-time risk assessment, and programmable accountability. The platform spans identity verification, risk management, credit, and settlement, with support for multiple blockchains including XRPL, Solana, and Base. Ripple executives emphasized the need for evolved financial infrastructure as AI agents become active economic participants. Survey data cited by t54 indicates growing consumer willingness to delegate financial tasks to AI, contingent on robust security. At the time of reporting, XRP was trading at $1.4397.

bitcoinist02/26 19:02

Ripple Makes New AI Bet As XRP Ledger Targets Agentic Payments

bitcoinist02/26 19:02

When 'Stability' Begins to Fluctuate: A Complete Review and Structural Analysis of the USD1 Depegging Incident

USD1, a stablecoin issued by World Liberty Financial (WLFI), experienced a brief depegging event on February 23, with its secondary market price dropping to around $0.98. WLFI attributed the incident to a "coordinated attack," claiming reserves and redemption mechanisms remained unaffected, and the price quickly recovered. The event raised questions about whether the depegging was a liquidity issue or a solvency crisis. Unlike TerraUSD's algorithmic collapse in 2022, USD1’s price dip appeared more related to temporary market liquidity stress rather than fundamental reserve failures. However, the incident highlighted that stablecoin stability relies not only on assets but also on market trust. USD1 operates under a centralized reserve model, where risks involve reserve transparency, asset liquidity, and market depth. In a low-liquidity, risk-averse market environment, even minor instability can trigger concerns about collateral devaluation, liquidations, and broader financial contraction. While the rapid price recovery suggests no systemic solvency issue, the event underscores how stablecoin depegging—even if temporary—can amplify market anxiety, reduce leverage, and increase funding costs. Trust, once questioned, takes time to restore, and credit repricing often precedes price changes in stressed markets.

marsbit02/25 04:11

When 'Stability' Begins to Fluctuate: A Complete Review and Structural Analysis of the USD1 Depegging Incident