# Сопутствующие статьи по теме Agents

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Agents", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

a16z: 11 Intersection Scenarios of AI and Cryptocurrency

The intersection of AI and crypto is reshaping the internet’s economic and structural foundations. As AI drives centralization, crypto offers decentralized, user-owned, and trust-minimized countermeasures. Key convergence areas include: 1. **Persistent Data & Context**: Blockchain enables AI to store and share user context across platforms, improving personalization and interoperability. 2. **Universal Agent Identity**: A portable, blockchain-based identity system allows AI agents to operate across ecosystems with built-in payment and reputation mechanisms. 3. **Proof of Personhood**: Decentralized identity protocols (e.g., Worldcoin) help distinguish humans from AI bots, ensuring authentic interactions. 4. **DePIN for AI**: Decentralized physical infrastructure networks democratize access to compute and energy resources for AI development. 5. **Agent-to-Agent Infrastructure**: Blockchain enables secure, interoperable interactions and payments between AI agents. 6. **Synchronizing “Vibe-Coded” Software**: Crypto provides a shared, incentivized layer to maintain compatibility across AI-generated software. 7. **Micro-Payments & Revenue Sharing**: Blockchain facilitates tiny, automated payments to content creators when AI uses their data. 8. **IP Registration & Provenance**: On-chain systems enable transparent IP ownership, licensing, and derivative use for AI-generated content. 9. **Compensated Web Crawling**: Crypto allows AI crawlers to pay websites for data access, while humans retain free access. 10. **Privacy-Preserving Ads**: Zero-knowledge proofs and micro-payments enable relevant, consensual advertising where users are compensated. 11. **User-Owned AI Companions**: Blockchain ensures users retain control and ownership over personalized AI relationships, avoiding platform dependency. Together, these intersections promise a more open, resilient, and user-centric digital future.

marsbit12/17 03:20

a16z: 11 Intersection Scenarios of AI and Cryptocurrency

marsbit12/17 03:20

Roundup: 11 Intersections of Artificial Intelligence and Cryptocurrency

The intersection of AI and crypto is reshaping the internet’s economic and structural foundations. This article explores 11 key areas where blockchain and AI converge to create more open, decentralized, and user-centric systems: 1. **Persistent Data & Context**: Blockchain enables AI to store and share user context across platforms, improving personalization and interoperability. 2. **Universal Agent Identity**: A portable, blockchain-based identity system allows AI agents to operate across ecosystems without platform lock-in. 3. **Proof of Personhood (PoP)**: Decentralized PoP (e.g., World ID) helps distinguish humans from AI, enhancing trust and reducing bot activity. 4. **DePIN for AI**: Decentralized physical infrastructure networks democratize access to compute and energy resources for AI development. 5. **Agent Interaction Infrastructure**: Blockchain protocols enable secure, autonomous interactions and payments between AI agents. 6. **Synchronizing “Vibe Coding”**: Crypto ensures compatibility and incentivizes maintenance of AI-generated software across evolving systems. 7. **Micro-payments & Revenue Sharing**: Blockchain facilitates tiny, automated payments to content creators based on AI-driven attribution. 8. **IP Registration & Provenance**: On-chain IP systems enable transparent ownership and new licensing models for AI-generated content. 9. **Compensated Web Crawling**: Crypto allows AI crawlers to pay websites for data access, preserving free access for humans. 10. **Privacy-Preserving Ads**: Zero-knowledge proofs and micro-payments enable relevant, consensual advertising without violating privacy. 11. **User-Owned AI Companions**: Blockchain ensures user control and censorship-resistant relationships with personalized AI agents. Together, these intersections aim to balance AI’s centralizing tendencies with crypto’s decentralized, user-owned ethos.

深潮12/17 02:19

Roundup: 11 Intersections of Artificial Intelligence and Cryptocurrency

深潮12/17 02:19

x402 V2 Launch: When AI Agents Get "Credit Cards," Which Projects Will Be Revalued?

x402 V2 Launch: AI Agents Gain "Credit Cards" – Which Projects Will Be Revalued? Coinbase’s x402 protocol has released its V2 upgrade, shifting from a single-chain payment tool for AI agents to a multi-chain, credit-enabled infrastructure. While V1 allowed AI to make on-chain payments via API calls, it was inefficient and costly due to per-transaction gas fees. V2 introduces three major enhancements: 1. **Delayed Payments**: AI agents can now use services first and pay later, enabling session-based or subscription billing. This effectively gives AI "credit," reducing friction and enabling high-frequency transactions. 2. **Multi-Chain Support**: The protocol is no longer limited to Base chain, allowing AI to transact across Ethereum, Solana, and other networks. 3. **Hybrid Payment Rails**: Supports both crypto (e.g., USDC) and fiat payments, bridging Web3 and traditional finance. This upgrade positions x402 as a foundational layer for the "machine economy," potentially revaluing projects in: - **AI Credit & Identity**: Protocols like Spectral (credit scoring), Bond Credit (agent lending), and CARV (decentralized identity) may see demand as AI requires trust and verification for deferred payments. - **Compute & Verification**: DePIN projects (e.g., Akash Network for decentralized compute) and ZKML protocols (e.g., Giza for verifiable AI inference) could benefit from seamless, high-frequency payment channels. - **Agent Execution Platforms**: Projects like Virtuals Protocol (AI agent issuance) and Brahma (on-chain execution) may leverage x402 for cross-chain agent operations and automated DeFi strategies. The update signals a shift from investing in "smarter" AI models to financing AI economies—where credit, identity, and execution layers become critical. Early-stage infrastructure projects in these areas could capture value as AI agents evolve into independent economic entities.

深潮12/12 06:53

x402 V2 Launch: When AI Agents Get "Credit Cards," Which Projects Will Be Revalued?

深潮12/12 06:53

Save These 17 Predictions! a16z's Latest Report Reveals the 2026 Crypto Wealth Code

a16z's latest crypto report outlines 17 key predictions for 2026, focusing on major trends across stablecoins, AI, privacy, and industry infrastructure. Key insights include: stablecoin on/off ramps will mature, enabling seamless integration with traditional finance and daily payments; RWA tokenization will shift towards crypto-native models like perpetual futures rather than simple asset replication; and legacy banking systems will increasingly adopt stablecoins for innovation without core overhauls. AI agents will require new identity frameworks (KYA - Know Your Agent) and will transform research through nested, multi-agent workflows. Privacy will become a critical competitive moat for blockchains, creating strong network effects. The report also highlights the rise of prediction markets, staked media (where credibility is backed by on-chain commitments), and SNARKs becoming efficient enough for broad use beyond blockchain. Finally, it calls for clearer crypto regulations to unlock blockchain's full potential by aligning legal and technical structures.

marsbit12/12 03:21

Save These 17 Predictions! a16z's Latest Report Reveals the 2026 Crypto Wealth Code

marsbit12/12 03:21

2026 Seven Future Trends: From the Revival of Application Chains to AI-Driven Crypto Networks

By 2026, key trends will reshape the crypto landscape. Application-specific blockchains will thrive, optimized for superior user experience and cultural alignment, with simplified development akin to custom PC building. Prediction markets will innovate further, focusing on liquidity and market structure to bridge the gap with traditional markets. Autonomous AI curators will scale DeFi by managing vaults and risk strategies, blending algorithmic precision with adaptive reasoning. Short-form video platforms like TikTok Shop will become dominant commerce channels, requiring crypto for seamless micro-payments and revenue sharing. Blockchain will drive a new AI arms race, enabling decentralized training, verifiable inference, and autonomous AI agents. Real-World Asset (RWA) tokenization will see mass adoption, transforming capital markets with enhanced liquidity and composability. Finally, agent-driven products will revolutionize user interaction, shifting from manual browsing to AI-powered, chat-like interfaces for executing complex on-chain strategies, reducing friction and enhancing accessibility.

marsbit12/11 22:58

2026 Seven Future Trends: From the Revival of Application Chains to AI-Driven Crypto Networks

marsbit12/11 22:58

A Brief History of the Encrypted Future: Seven Major Trends Reshaping the Industry Narrative in 2026

"Crypto Future: 7 Trends Reshaping the Industry Narrative in 2026" This article outlines seven key trends expected to define the crypto industry in 2026. First, **Appchains** will see a major breakthrough, as applications built on custom, purpose-specific blockchains optimized for unique user experiences and cultures will flourish, enabled by modular infrastructure. Second, **prediction markets** will continue to innovate, with success hinging on solutions that reduce spreads, increase open interest, and capture specific categories of volume. Third, **Agentic Curators** will emerge, using AI agents (LLMs with tools) to manage DeFi risk and strategies through reasoning, not just fixed algorithms, competing directly with human managers. Fourth, **short-form video** will become the dominant traffic and commerce gateway, with platforms blurring the lines between content and payment. Crypto is essential for enabling microtransactions and tracking complex revenue sharing. Fifth, **new AI Scaling Laws** will be driven by blockchain, as decentralized training and inference networks move from testing to production, offering verifiable, confidential computation and challenging centralized AI development. Sixth, **RWA (Real World Assets)** will achieve real-world adoption at scale. Tokenization will expand beyond stablecoins to assets like commodities, credit, and equities, upgrading global capital markets through on-chain transparency and DeFi composability. Finally, an **Agent-driven product renaissance** will begin, shifting the internet's core from apps we use to agents we converse with. These AI agents will manage complex on-chain tasks, filter information, and execute strategies, reducing friction and unlocking a new era of user empowerment.

Odaily星球日报12/11 05:36

A Brief History of the Encrypted Future: Seven Major Trends Reshaping the Industry Narrative in 2026

Odaily星球日报12/11 05:36

Why is Crypto the Key Infrastructure for the Large-Scale Adoption of AI Agents?

Why Crypto is Key Infrastructure for AI Agent Mass Adoption For AI Agents to become widely deployable autonomous software, they require two core capabilities: composability and verifiability. These are inherently lacking in traditional Web2 systems but are natively provided by cryptocurrency networks. AI's future lies not in isolated models but in agents that automatically call services, compose with other agents, write code, test, and execute decisions involving financial actions. This agent composability depends on verifiability—knowing another agent executed as promised. Web2 infrastructure (APIs and SaaS) fails here due to black-box operations, mutable data, unprovable results, centralized audits, and manual settlements. Cryptocurrency provides the missing verified base layer through: 1. Verifiable Execution: Smart contracts and ZK proofs enable transparent, provable on/off-chain actions. 2. Verifiable Identity: DIDs and signed agent code ensure trust and integrity. 3. Verifiable Value Transfer: Automated payments, revenue sharing, collateralization, and penalties enable direct fund management without intermediaries. As AI evolves from code generation to full-cycle automation (writing, testing, running, fixing), especially with real-world financial impact, crypto becomes essential. It enables automatic penalties for failures, rewards for contributions, multi-agent settlements, and trustless coordination—making AI economically viable beyond demos. In short: AI enables autonomy; crypto makes autonomy trustworthy. Without crypto's verifiability, AI agents cannot operate reliably at scale in the real economy.

深潮12/09 03:58

Why is Crypto the Key Infrastructure for the Large-Scale Adoption of AI Agents?

深潮12/09 03:58

活动图片

Популярные категорииright-arrow

Популярные тегиright-arrow

Bitcoin

Project Updates