# 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.

Viewing Crypto × AI from the Primary Market: An Experiment in Tokenization Illusion

This article analyzes the convergence of cryptocurrency and artificial intelligence (AI), critiquing the prevailing trend of "tokenization illusion" in Crypto × AI projects. Initially, the discussion highlights Vitalik Buterin's earlier skepticism toward Crypto-Helps-AI initiatives—such as tokenizing computing power, data, and AI models—which often lack sustainable product-market fit. These efforts face issues like unreliable compute services, low-quality data supply, and the non-scarce nature of AI models. The author also questions the practicality of verifiable inference (e.g., ZKML), arguing it addresses non-existent threats, as AI errors typically stem from design flaws rather than malicious tampering. Buterin’s updated perspective now balances both AI-Helps-Crypto and Crypto-Helps-AI, focusing on four key areas: using Ethereum for trustless AI interactions and economic layers for AI agents, and leveraging AI for smart contract auditing, prediction markets, and DAO governance. The conclusion emphasizes a more mature, integrated approach beyond mere tokenization, hoping for tangible progress in the coming years.

marsbit02/12 06:11

Viewing Crypto × AI from the Primary Market: An Experiment in Tokenization Illusion

marsbit02/12 06:11

Solana’s 38M transactions signal AI’s rise – Are memecoins being left behind?

Solana's recent 38 million transactions driven by AI agents signal a major shift towards utility-focused blockchain use cases, moving beyond memecoin speculation. Despite market volatility and Solana's price dip below $100, its weekly DEX volume hit a 13-week high of $36 billion, indicating strong fundamentals. Memecoins like TRUMP fell significantly, with the overall memecoin market cap down 35% this month. This trend suggests investors are prioritizing real network activity and AI-powered projects over short-term bets. Solana's embrace of AI positions it as a leader in the next wave of blockchain adoption, potentially settling the long-standing debate around memecoins' sustainability.

ambcrypto02/11 04:01

Solana’s 38M transactions signal AI’s rise – Are memecoins being left behind?

ambcrypto02/11 04:01

Crypto.com CEO Kris Marszalek Unveils ai.com with Autonomous Consumer AI Agents

Crypto.com CEO Kris Marszalek has launched ai.com, a new consumer AI platform featuring autonomous AI agents capable of planning and executing tasks across applications, and even developing new tools independently. Positioned as a mass-market product, the platform allows users to create personalized AI agents in about 60 seconds without technical knowledge. These agents can handle messaging, calendar management, workflow automation, and basic project development. The system operates on a decentralized model where agents self-improve and share enhancements across the network, potentially accelerating progress toward artificial general intelligence (AGI). The platform emphasizes privacy and permission-based controls, though regulatory challenges may arise as agents perform higher-stakes actions. ai.com is set to debut with a Super Bowl ad in February 2026.

TheNewsCrypto02/07 05:28

Crypto.com CEO Kris Marszalek Unveils ai.com with Autonomous Consumer AI Agents

TheNewsCrypto02/07 05:28

Griffin AI Announces Partnership With OpenAI and Receives Usage Milestone Trophy Recognizing 20+ Billion Tokens Processed

Griffin AI has announced a partnership with OpenAI and received a milestone trophy for processing over 20 billion tokens through OpenAI’s models, reflecting accelerating user adoption. The company reported a 57% month-over-month growth in prompt-driven agent activity, underscoring increased engagement in crypto research, decision support, and workflow automation. Founder Oliver Feldmeier emphasized that this growth is driven by organic demand and real utility, rather than short-term market trends. Griffin AI continues to focus on scaling reliable, production-grade AI agents for the crypto sector, operating a multi-model stack for flexibility and resilience. The company aims to convert rising usage into durable utility through commercial-grade agents operating across web, social, and crypto environments.

TheNewsCrypto02/06 14:00

Griffin AI Announces Partnership With OpenAI and Receives Usage Milestone Trophy Recognizing 20+ Billion Tokens Processed

TheNewsCrypto02/06 14:00

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

Research Perspective: The Bull Market Persists, The Agent Wave Has Arrived

The market experienced significant volatility, with a historical $2.5 billion liquidation event causing BTC to briefly drop below $75K. However, this is viewed not as the end of the bull market but as a structural adjustment driven by institutional deleveraging and macro risk-off sentiment. Key factors include macro events like potential U.S. government shutdowns and geopolitical developments, but the deeper driver is AGI (Artificial General Intelligence), which is expected to boost AI-related stocks and influence risk assets. Technologically, the launch of ERC-8004 and protocols like x402 enable trustless AI agent operations on-chain, with ecosystems like Base chain’s Claw-themed memes and projects such as Moltbook signaling the practical arrival of AI agent applications. The convergence between traditional tech (e.g., OpenAI, Anthropic) and crypto is accelerating, with agents enabling micro-trading, arbitrage, and social propagation at unprecedented speed. Despite recent sell-offs and exchange controversies (e.g., criticism targeting Binance), agent-related narratives and technologies are positioned to lead the next wave of market growth. The conclusion emphasizes long-term holding of technology-driven assets, identifying the agent trend as a major alpha opportunity.

marsbit02/03 11:10

Research Perspective: The Bull Market Persists, The Agent Wave Has Arrived

marsbit02/03 11:10

Ethereum Is Pivoting Into The AI Industry? Here’s What We Know So Far

Ethereum is expanding into the AI sector with the upcoming launch of the ERC-8004 standard, designed to integrate AI agents directly onto its blockchain. This update enables AI systems to operate with unique on-chain identities, represented as ERC-721 NFTs, and verifiable reputations. It supports decentralized AI-to-AI interactions without relying on centralized platforms, allowing agents to record actions and outcomes on-chain for transparency. The proposal, led by developers including MetaMask's AI lead, is set to go live on January 30. This initiative builds on Ethereum's ongoing efforts, including its dedicated dAI Team, to position the blockchain as a foundational layer for AI coordination and autonomous systems.

bitcoinist01/30 03:02

Ethereum Is Pivoting Into The AI Industry? Here’s What We Know So Far

bitcoinist01/30 03:02

Ethereum bets on AI agents with ERC-8004: ETH still trades flat

Ethereum is preparing for the ERC-8004 upgrade, a new smart contract standard designed to enable AI agents to discover, verify, and interoperate directly on-chain without gatekeepers. Developed with input from MetaMask's AI head, Marco De Rossi, the standard is expected to launch soon, aiming to position Ethereum's mainnet as a settlement layer for the AI agent economy. Despite the significant potential of this upgrade, ETH's price action remains relatively flat, trading around $3,025 at press time, though open interest has recovered to over $17 billion, indicating renewed but cautious trader positioning.

ambcrypto01/29 04:01

Ethereum bets on AI agents with ERC-8004: ETH still trades flat

ambcrypto01/29 04:01

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