# Identity Related Articles

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

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

When AI Meets Crypto: 11 Emerging Convergence Scenarios The integration of AI and crypto is reshaping the internet's economic model, offering decentralized, user-owned alternatives to centralized control. Key convergence areas include: 1. Persistent data and interaction context via blockchain, enabling AI to remember user preferences across sessions and platforms. 2. Universal "passports" for AI agents, allowing portable, interoperable identity and payment capabilities. 3. Forward-compatible proof-of-human systems (e.g., Worldcoin) to distinguish humans from AI bots. 4. DePINs (Decentralized Physical Infrastructure Networks) for scalable, resilient AI compute resources. 5. Blockchain-based protocols for AI-to-AI interactions, enabling autonomous transactions and workflows. 6. Synchronization layers for AI-generated applications to maintain compatibility amid rapid software evolution. 7. Micropayments and revenue-sharing models to compensate content creators when AI uses their data. 8. Blockchain IP registries (e.g., Story Protocol) for transparent attribution and licensing in generative AI. 9. Compensating web crawlers via crypto payments, ensuring fair compensation for data usage. 10. Privacy-preserving, personalized advertising using zero-knowledge proofs and micro-incentives. 11. User-owned AI companions hosted on censorship-resistant platforms for controlled, persistent relationships. These innovations aim to create a more open, equitable, and resilient internet by leveraging crypto's decentralized trust and AI's capabilities.

marsbit01/22 00:41

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

marsbit01/22 00:41

IOSG|Decentralized AI: Ethereum's Next Decade Bet

A Glimpse into Decentralized AI: Ethereum's Next Decade Bet In a future scenario, AI assistants could autonomously handle complex tasks like booking flights by coordinating with specialized AI agents. However, a critical challenge emerges: how can AI determine which other agents to trust? Current AI agents operate in isolated ecosystems (e.g., OpenAI, Google), unable to communicate or verify each other’s reliability—a "trust crisis" akin to early fragmented email systems. While protocols like Google’s A2A (Agent-to-Agent) and Anthropic’s MCP (Model Context Protocol) enable AI-to-AI communication, they lack a trust mechanism. ERC-8004 proposes a solution by leveraging Ethereum to provide AI agents with: 1. **Identity**: A unique, verifiable on-chain ID (as an NFT) to prevent forgery. 2. **Reputation**: A transparent, immutable rating system (like Uber or Taobao reviews) recorded on-chain. 3. **Validation**: For high-risk tasks, third-party verification via cryptographic proofs or trusted execution environments. Ethereum’s neutrality is key: it offers a decentralized, tamper-proof foundation for AI identity and reputation, avoiding reliance on any single corporation. The Ethereum Foundation’s dedicated dAI (Decentralized AI) team aims to position Ethereum as the settlement and coordination layer for the AI economy, marking a strategic shift from DeFi/NFTs to "on-chain intelligence." The ecosystem is already advancing, with 1,100+ developers, 70+ demos, and integrations like Taiko L2 and x402 (a payment protocol by Coinbase/Cloudflare). Combined, ERC-8004 and x402 could enable a closed-loop economy where AI agents autonomously complete tasks and receive payments. In the long term, this could allow users to hire AI agents effortlessly, monetize their own agents, and enjoy interoperable AI assistants beyond walled gardens. While success isn’t guaranteed, ERC-8004 represents a pivotal narrative shift for Ethereum—potentially becoming the "TCP/IP" for decentralized AI.

marsbit01/19 13:59

IOSG|Decentralized AI: Ethereum's Next Decade Bet

marsbit01/19 13:59

Eight Years Later, Behind Monero's New High, the Privacy Narrative Is Returning to the Core of Crypto

Amidst market volatility and fleeting meme coin trends, privacy is re-emerging as a core narrative in crypto. Monero (XMR) recently broke its 8-year all-time high, surging over 500% since early 2024, symbolizing a return to privacy-first principles. Its design, featuring ring signatures, stealth addresses, and RingCT, ensures strong anonymity by default. Zcash (ZEC) initially led this privacy resurgence but faced a governance crisis when its development team, ECC, collectively resigned due to disputes with the Bootstrap board, causing a 40% price drop. Despite this, Zcash remains a decentralized protocol. Other projects are expanding privacy beyond transactions. Humanity Protocol uses palm recognition and zero-knowledge proofs to create a private digital identity system, partnering with Mastercard. Railgun acts as a private wallet layer for DeFi, allowing anonymous interactions with smart contracts, with Vitalik Buterin among its users. Pirate Chain enforces 100% privacy using zk-SNARKs. Tornado Cash, despite U.S. sanctions and legal battles, saw significant ETH inflows in 2025, showing persistent demand for privacy. Dusk Network takes a compliance-friendly approach, offering auditable privacy for regulated assets like RWA, aligning with EU regulations. This shift indicates privacy is evolving from a niche tool into essential infrastructure for crypto's sustainable growth.

Odaily星球日报01/13 07:44

Eight Years Later, Behind Monero's New High, the Privacy Narrative Is Returning to the Core of Crypto

Odaily星球日报01/13 07:44

a16z: Three Major AI Trends for 2026

a16z: Three AI Trends for 2026 1. AI Takes on Substantial Research Tasks: AI models are evolving to handle complex, abstract instructions and assist in research, particularly in reasoning. They are beginning to solve difficult problems and foster a new "generalist" research style that focuses on connecting ideas and making inferences from hypothetical answers. This requires new "nested agent" workflows where models collaborate and refine each other's outputs, though better model interoperability and compensation methods (potentially via blockchain) are needed. 2. The Shift from KYC to KYA (Know Your Agent): The bottleneck in the agent economy is shifting from intelligence to identity verification. With non-human identities vastly outnumbering humans in finance, there's a critical need for a "Know Your Agent" infrastructure. Agents require cryptographically signed credentials to transact, linking them to their principals, constraints, and liabilities. 3. Solving the Open Web's "Invisible Tax": AI agents are disrupting the economic foundation of the open web by extracting data from ad-supported sites (the context layer) while bypassing their revenue models. This creates an "invisible tax" that threatens content creation. Solutions are needed to automatically reward content creators, moving from static licensing to real-time compensation systems using technologies like nanopayments and attribution standards, potentially blockchain-enabled.

marsbit01/12 08:09

a16z: Three Major AI Trends for 2026

marsbit01/12 08:09

What Endures Through Bull and Bear Markets Is Not Consensus, But Structure: Learning from Century-Old Football Clubs to Understand Web3

This article draws parallels between the sustainability of century-old European football clubs and the challenges faced by Web3 projects in building lasting communities. It argues that while Web3 excels at discussing growth, incentives, and tokenomics, it often lacks the deep sense of belonging and trust that allows communities to endure market cycles. The piece uses the origins of clubs like Manchester United, FC Barcelona, and Juventus to illustrate how they were founded on strong cultural identity, grassroots community, and a shared sense of purpose—principles that Web3 projects can emulate. It highlights how these identities, forged in local communities and through powerful narratives, created unwavering fan loyalty. Furthermore, it examines how clubs like Liverpool and Borussia Dortmund survived existential crises not through wealthy owners, but through the unwavering support of their fan communities. The article points to governance models like the member-owned structure of FC Barcelona or Germany’s “50+1” rule as examples of how deep community integration creates resilience. Finally, it discusses the role of legendary figures, like Liverpool’s Bill Shankly, as spiritual leaders who embody the community’s values and provide a narrative anchor. For Web3, this underscores the importance of authentic leadership and using key figures to build emotional resonance, while also ensuring the community’s culture is institutionalized to outlast any individual. The core conclusion is that Web3 can learn from football’s focus on authentic identity, community-powered governance, and shared cultural narratives to build projects that survive beyond short-term hype.

比推12/30 04:52

What Endures Through Bull and Bear Markets Is Not Consensus, But Structure: Learning from Century-Old Football Clubs to Understand Web3

比推12/30 04:52

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