This article discusses the merging of AI and blockchain technology, highlighting the rise of autonomous AI agents that can operate on decentralized networks. It explores how these advancements could reshape industries, particularly in crypto and decentralized science (DeSci), with a focus on healthcare innovations.

Telegram has launched Cocoon, a decentralized AI compute network on the TON blockchain, aiming to compete with Amazon and Microsoft. GPU providers earn TON tokens by contributing computing power, but the network's reliance on specific Intel processors raises concerns about adoption.

The article argues that while many crypto assets are losing value, a new Supercycle is underway focused on real utility. It highlights a shift towards DeFi protocols and AI integration, suggesting that the market is maturing and investors are prioritizing projects with tangible returns.

Anthropic's report reveals that AI agents exploited vulnerabilities in smart contracts, simulating over $550 million in potential losses. They discovered new zero-day vulnerabilities, highlighting the urgent need for improved security measures in blockchain technology.

The article discusses the merging of AI and blockchain technologies, emphasizing how AI agents are evolving to operate on decentralized networks. It highlights the potential for these agents to manage digital assets and collaborate across various platforms, suggesting significant opportunities in 2025.

This article discusses Virtuals’ development of a network of AI agents capable of independent commerce and collaboration. It highlights their entry into robotics and the challenges of data and capital that need to be addressed to enhance physical intelligence. The piece also outlines the Agent Commerce Protocol (ACP) that facilitates transactions between specialized agents.

This article discusses the integration of AI agents with blockchain technology, highlighting their potential to operate autonomously across decentralized networks. It also covers the rise of decentralized science (DeSci) projects, particularly in healthcare, and the growing adoption of Ethereum's Layer 2 scaling solutions like Base.

This article explores the intersection of AI and blockchain technology, highlighting how AI agents are evolving into autonomous entities capable of operating on decentralized networks. It also discusses the rise of decentralized science (DeSci) and the growth of Ethereum's Layer 2 solutions like Base.

This article explains how to register an MCP server using the ERC-8004 standard, which provides a framework for building trust and discoverability for AI agents. It covers setting up an MCP server, querying it, and the importance of on-chain reputation for tool verification.

Eliza Labs is developing a comprehensive framework for creating digital companions that operate autonomously and maintain user ownership over data. Their approach includes a full stack that integrates identity, memory, and payments, aiming to transform how users interact with AI and manage their lives.

This article explores EigenCloud's approach to ensuring verifiability in digital services, addressing issues like AI decision-making and cloud data integrity. It highlights the importance of being able to verify ownership and operation in a world increasingly reliant on AI and cloud computing.

The article discusses the emergence of AI agents as autonomous financial entities, focusing on the x402 protocol and the ERC-8004 standard that establishes trust between agents. By 2026, these agents will facilitate transactions without human intervention, using systems for identity verification and performance feedback.

The x402 payments protocol allows AI agents and applications to make automatic payments for data and services through HTTP requests. It enables micropayments, allowing creators to earn stablecoins per access, and facilitates machine-to-machine transactions without human intervention. This innovation could reshape online commerce and content monetization.

The article discusses the need for blockchains to address the challenges posed by AI impersonation and privacy. It highlights how decentralized identity systems can enhance trust and security in AI-driven online interactions, making it harder for malicious actors to exploit human identities.

The article discusses the merging of AI agents and blockchain technology, highlighting how AI is evolving into autonomous agents capable of managing digital assets and collaborating across decentralized networks. It also explores the rise of decentralized science (DeSci) and its impact on research, particularly in healthcare, while noting the growth of Ethereum's Layer 2 network, Base.

The Konni hacker group is targeting blockchain developers with AI-generated PowerShell malware. Their attacks involve sending malicious links via Discord that deliver a backdoor capable of compromising sensitive assets like API credentials and cryptocurrency. Researchers have identified the malware as being developed with AI assistance, indicating a shift in their tactics.

This article explores the convergence of AI agents and blockchain technology, highlighting how AI is evolving into autonomous agents capable of operating on decentralized networks. It also discusses the rise of decentralized science (DeSci) and its impact on various industries, particularly healthcare.

This article explores the merging of AI and blockchain technologies, highlighting the rise of autonomous AI agents that can operate on decentralized networks. It discusses how these agents are set to revolutionize various sectors, especially in crypto and decentralized science (DeSci), by leveraging onchain capabilities.

The article discusses the merging of AI agents and blockchain technology, highlighting how autonomous AI can operate on decentralized networks. It emphasizes the potential for these agents to manage digital assets and engage in continuous opportunity-seeking. Additionally, it touches on the rise of decentralized science (DeSci) and its impact on various industries.

The article discusses the challenges and insights from EigenLayer's restaking initiative. It outlines missteps in branding, communication, and technology while highlighting successes in market control and product development. The author emphasizes lessons learned and the future direction for Eigen, focusing on verifiability in applications and the integration of AI.

The article discusses the intersections between artificial intelligence and cryptocurrency, exploring how advancements in AI can impact the blockchain space and vice versa. It highlights various projects and innovations that illustrate the potential synergies between these two rapidly evolving fields.

Early AI investor Elad Gil is focusing on his next investment in AI-powered rollups, a technology that enhances efficiency in blockchain transactions. This shift reflects his ongoing interest in innovative applications of artificial intelligence and the potential for significant market impact.

Coinbase has introduced Payments MCP, a tool that allows AI agents like Claude and Gemini to access blockchain wallets and perform transactions using cryptocurrency. This initiative follows the launch of the x402 Foundation, aimed at standardizing AI payments and enhancing the integration of AI with decentralized finance.

AI-powered agents like ElizaOS are being developed to autonomously trade cryptocurrency and execute contracts, but recent research reveals vulnerabilities that could allow adversaries to redirect transactions through simple prompt injections. These exploits pose significant risks if such agents are given control over financial instruments. The framework, while experimental, is seen as a potential catalyst for decentralized autonomous organizations (DAOs).

The London Blockchain Conference gathered over 5,000 industry leaders and innovators to discuss the transformative impact of blockchain, web3, and AI on finance, governance, and sustainability. Attendees can access on-demand content featuring key insights on trust, tokenized finance, AI accountability, and emerging regulations, aimed at driving real-world applications and collaboration in the digital economy.

NodeSmith is an AI-driven automation system developed by Coinbase that streamlines the process of upgrading blockchain nodes across more than 60 networks. By reducing engineering effort by 30% and ensuring no mandatory upgrades are missed, it enhances operational efficiency and reliability in managing blockchain infrastructure.