# Agents İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Agents" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Analyzing a16z's "AI × Crypto" Investment Thesis, A Review of 14 Crypto Projects Needed for AI Agents

Analyzing a16z's "AI × Crypto" investment thesis, this article argues that blockchain is essential for AI's economic integration. The future of AI lies not just in intelligence but in seamless participation in human economies. As AI agents act autonomously, blockchain provides a trust and coordination layer for secure economic activities. The thesis outlines three key points: First, blockchain serves as infrastructure for AI collaboration, solving interoperability and accountability issues. Projects like Covalent, Allora, Questflow, Gaia, and Sentient are building decentralized networks for multi-agent coordination. Second, AI agents need verifiable identity ("Know Your Agent" or KYA) rather than more intelligence. Trust is established through cryptographic identities and credentials. Projects like Billions, cheqd.io, Vouched.ID, and the proposed ERC-8004 standard are developing KYA solutions. Third, blockchain enables micro-payments and nano-payments, ensuring fair compensation for content creators when AI uses their data. This prevents an "invisible tax" on the open web. Projects like Catena Labs, x402 (with KITE AI), and Alsa are creating payment layers for AI agents to autonomously transact and compensate fairly. Overall, crypto provides the missing trust, identity, and payment infrastructure for a sustainable AI-agent economy.

marsbit8 saat önce

Analyzing a16z's "AI × Crypto" Investment Thesis, A Review of 14 Crypto Projects Needed for AI Agents

marsbit8 saat önce

Top VCs Criticize Silicon Valley's Explosive Hot Topics: Epstein Conspiracy Theories, AI Agents Devouring Software, and Musk's Space Ambitions

In this episode of the All-In Podcast, the hosts discuss several high-profile topics. They address the Epstein files, questioning why only certain figures like Jason Calacanis are highlighted while others with deeper ties are overlooked, eroding public trust in institutions. The conversation shifts to AI's impact on SaaS, noting a massive market selloff as AI agents like Claude threaten to disrupt traditional software by consolidating workflows and reducing human labor, potentially shifting future profits to the agent layer. The emergence of Moltbook, a forum for AI agents, raises questions about autonomous behavior and safety, though some content may be human-generated. Elon Musk's plan to merge SpaceX and xAI and build data centers in space within 30 months is seen as a bold move to overcome Earth's energy constraints for AI expansion. Finally, Trump's nomination of Kevin Warsh as Fed Chair is viewed positively, with expectations of rate cuts due to AI's deflationary effects, alongside the launch of the "Trump Account" initiative to promote widespread investment ownership.

marsbitDün 06:50

Top VCs Criticize Silicon Valley's Explosive Hot Topics: Epstein Conspiracy Theories, AI Agents Devouring Software, and Musk's Space Ambitions

marsbitDün 06:50

ERC-8004 Gathers Over 20,000 'Digital Immigrants', On-Chain Becomes Testing Ground for AI Agents

ERC-8004, a new Ethereum protocol, has attracted over 21,000 AI Agents since its recent mainnet launch, positioning Ethereum and Base as primary testing grounds for AI Agent ecosystems. The protocol enables cross-platform interoperability and a portable reputation system, supporting decentralized AI service markets. While most Agents are deployed on Ethereum and Base, user engagement remains early-stage, with only around 15,000 total feedback entries recorded. Many Agents already support the x402 protocol for autonomous micro-payments, signaling the emergence of an on-chain agent economy. Vitalik Buterin supports Ethereum’s role as a foundational layer for AI—emphasizing decentralization, user sovereignty, and anti-censorship—rather than competing on raw AI compute. He outlined four key development directions: privacy-preserving AI tools, Ethereum as an economic layer for AI interactions, a self-verifying cyberpunk world powered by local AI, and improved AI-augmented governance mechanisms. The movement aligns with a broader trend of crypto-AI integration, as seen in projects like Chainlink, Filecoin, and initiatives from Coinbase and Farcaster.

marsbit2 gün önce 03:04

ERC-8004 Gathers Over 20,000 'Digital Immigrants', On-Chain Becomes Testing Ground for AI Agents

marsbit2 gün önce 03:04

The Flagship Open AGI Summit Returns to Denver Amid a Global Surge in Open-Source AI

The Open AGI Summit, a leading open-source AI conference, returns to Denver for its seventh edition on February 19, 2026. The event will address a central question in technology: whether Artificial General Intelligence should be controlled by corporations or built openly to ensure accessibility for all. Hosted by Sentient, the summit brings together AI and crypto researchers, founders, and builders to explore decentralized, transparent, and ethical AI development. It will feature keynotes and panels from leaders at organizations like Coinbase, Consensys, Ethereum Foundation, and others, covering topics such as AI agents, DeFi AI, privacy, and open-source model training. The summit advocates for Web3 infrastructure—including decentralized compute and tokenized incentives—as essential for creating community-owned, trustworthy AI. Registration is complimentary but requires application.

TheNewsCrypto2 gün önce 14:23

The Flagship Open AGI Summit Returns to Denver Amid a Global Surge in Open-Source AI

TheNewsCrypto2 gün önce 14:23

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

活动图片

Project Updates

Trading Strategies