# 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.

AI Trust Crisis Escalates, Blockchain Becomes an Indispensable 'Anti-Counterfeiting Layer'

AI systems are disrupting the internet, which was designed for human-scale interactions, by making it difficult to distinguish between human and machine-generated content, identities, and transactions. The core issue is the lack of a native method to differentiate humans from AI while preserving privacy and usability. Blockchain technology offers critical solutions through five key mechanisms: 1. AI can cheaply mimic human behavior at scale, but decentralized proof-of-personhood systems (e.g., World ID) increase the marginal cost of impersonation by enforcing uniqueness and scarcity. 2. Decentralized identity systems shift control from centralized platforms to users, reducing single points of failure and enhancing security and censorship resistance. 3. AI agents require portable, universal "passports" to operate across platforms without being locked into specific ecosystems, enabled by blockchain-based identity layers. 4. Existing payment systems are inadequate for AI agent-scale transactions; blockchain enables micro-payments, smart contracts, and programmable revenue sharing suitable for machine-to-machine commerce. 5. Privacy and security are intertwined: zero-knowledge proofs allow verification of attributes without exposing personal data, denying AI the raw materials needed for imitation. In summary, blockchain restores trust, raises impersonation costs, protects human-scale interactions, decentralizes identity, enforces privacy by default, and provides native economic infrastructure for AI agents—making it an essential layer for an AI-native internet.

比推02/05 15:30

AI Trust Crisis Escalates, Blockchain Becomes an Indispensable 'Anti-Counterfeiting Layer'

比推02/05 15:30

Multicoin Partner: The World Turned Upside Down, Humans Will Work for AI in the Future

Multicoin Capital partner Shayon Sengupta argues that the future of AI will invert the traditional labor paradigm: rather than AI agents merely working for humans, humans will increasingly work for AI agents. He predicts the emergence of the first "Zero-Employee Company" within 24 months—a tokenized AI agent that raises over $1 billion to solve open-ended problems (like curing rare diseases) and distributes over $100 million to humans who perform tasks on its behalf. Sengupta categorizes agents into two types: those optimizing existing GDP (handling defined tasks like customer support) and those creating new GDP (tackling uncertain, exploratory problems). While agents excel at computation and strategy, they still require humans for physical execution, complex judgment, and strategic guidance. Humans will serve as both labor contributors (completing real-world tasks) and as a strategic "board" providing high-level direction. Crypto infrastructure is identified as critical for coordination, offering global payment rails, permissionless labor markets, and token-based governance. As agents become more capable, human input may diminish, but robust ownership and governance structures must ensure they remain aligned with human values. Key enabling tools will include proof-of-agenthood/personhood systems, verifiable labor markets, and new capital formation mechanisms.

marsbit02/04 09:19

Multicoin Partner: The World Turned Upside Down, Humans Will Work for AI in the Future

marsbit02/04 09:19

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

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