# Сопутствующие статьи по теме Autonomous

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

Coinbase bets on autonomous AI as Agentic Wallets go live – Details!

Coinbase has unveiled Agentic Wallets, a new infrastructure designed to enable AI agents to autonomously hold, spend, earn, and trade cryptocurrency without requiring human approval for each step. Built on Coinbase's systems and the x402 protocol, the technology supports machine-to-machine crypto payments, gasless trading on Base, and programmable financial actions, with built-in security and compliance features. In parallel, Lightning Labs introduced tools for AI transactions over Bitcoin’s Lightning Network, including L402 payments and enhanced security controls. On Ethereum, over 13,000 AI agents registered in a single day following the launch of the ERC-8004 standard, which provides portable identities and a trust layer. Amid these developments, several AI-related tokens, such as KITE and CLANKER, saw significant weekly gains, suggesting growing investor interest in the AI-crypto narrative. The advancements signal a shift from AI systems that merely advise to those capable of independent action, potentially marking a new phase in crypto-enabled autonomous economies.

ambcrypto02/12 07:32

Coinbase bets on autonomous AI as Agentic Wallets go live – Details!

ambcrypto02/12 07:32

GoMining Simple Earn Enables Autonomous Bitcoin Yield Accrual via Single-Toggle Integration

GoMining has launched a new feature called Simple Earn, enabling users to automatically earn yield on their crypto assets with payouts delivered in Bitcoin every four hours. The feature is activated with a single toggle, removing the complexity typically associated with crypto yield generation. Users maintain full access to their funds with no lockup periods, allowing for deposits and withdrawals at any time. Yield rates vary based on market conditions and the user’s VIP level within the GoMining ecosystem, with higher tiers earning increased Bitcoin rewards. Currently available globally except in the U.S., Simple Earn is part of GoMining’s broader effort to create a comprehensive Bitcoin-based ecosystem for mining, earning, and spending.

TheNewsCrypto02/10 11:25

GoMining Simple Earn Enables Autonomous Bitcoin Yield Accrual via Single-Toggle Integration

TheNewsCrypto02/10 11:25

A Conversation with Cathie Wood: Eight Insights on the Big Ideas 2026

"Big Ideas 2026: A Conversation with Cathie Wood" by Peter Diamandis summarizes a discussion with ARK Invest's founder on eight key insights. The core thesis is that the world is at a 125-year technological inflection point, driven by the exponential convergence of five platforms: AI, robotics, energy storage, blockchain, and multiomic sequencing. This fusion is projected to double global GDP growth to 7% by 2030. Key takeaways include: data centers migrating to orbit for superior solar efficiency; AI inference costs plummeting 99%, commoditizing intelligence; a US-China AI cold war accelerating open-source innovation; a bullish Bitcoin forecast of $1.5M by 2030 as a hedge against deflation; a nuclear energy revival to power AI data centers; and the imminent disruption of transportation by autonomous taxis and delivery systems, with Tesla positioned to dominate. The conclusion urges entrepreneurs and investors to think across converging technologies, embrace deflation-driven demand explosions, and recognize that energy is the new constraint. The future will be built by those who leverage Wright’s Law and participate in this transformative era.

marsbit02/09 08:26

A Conversation with Cathie Wood: Eight Insights on the Big Ideas 2026

marsbit02/09 08:26

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

HashKey CaaS and Lingchu Intelligence Form Strategic Partnership to Jointly Build AI Autonomous Payment Infrastructure

HashKey CaaS and Lingchu Intelligence have entered into a strategic partnership to jointly develop AI autonomous payment infrastructure. The collaboration will focus on data tokenization for robots and the implementation of the HP2 (HashKey Payment Protocol) autonomous payment network, aiming to integrate AI with the digital financial system and build key infrastructure for the embodied intelligence economy. As part of the agreement, Lingchu will deploy 10 dual-arm robots integrated with HashKey CaaS’s HP2 payment protocol, designed for Web3 and AI agents. These robots will gain controlled payment permissions, enabling them to act as autonomous agents to conduct on-chain transactions—such as purchasing services, accessing data interfaces, and earning on-chain income through task execution. Each autonomous transaction will be recorded as an auditable on-chain financial record, transforming the robots from mere smart devices into independent participants in the digital economy. Additionally, HashKey CaaS will tokenize the operational data generated by Lingchu’s robots, turning them into tradable digital assets with monetary value. HashKey’s CEO of On-Chain Business Group, Li Chen, stated that this partnership marks the first application of the HP2 protocol in embodied AI, supporting the integration of robots into the digital financial ecosystem. Wang Qibin, CEO of Lingchu Intelligence, emphasized that the collaboration will help accelerate the transition from R&D to an ecosystem-oriented machine economy. Both parties plan to further explore applications of embodied intelligence in payment and autonomous services, promoting the large-scale practical implementation of AI-driven economic models.

marsbit01/29 07:16

HashKey CaaS and Lingchu Intelligence Form Strategic Partnership to Jointly Build AI Autonomous Payment Infrastructure

marsbit01/29 07:16

Ozak AI x Openledger xSpaces Dives Into Trustworthy Data Infrastructure for Autonomous AI

Ozak AI and Openledger are co-hosting an xSpaces session on January 13th to explore the critical role of trustworthy data infrastructure for the future of autonomous AI. As AI systems take on greater responsibilities, the need for verifiable, transparent, and tamper-proof data has become essential. The discussion will focus on how reliable data enables scalable, profitable, and accountable AI agents, with Openledger providing the verifiable data frameworks. Key speakers include Ozak AI's CEO Pax Reid and Openledger's Ram Kumar. The context is strengthened by Ozak AI's recent momentum, including over $5.6M in funding, exchange listings, and the live launch of its EON platform, which has undergone security audits. This session highlights how data integrity is the foundational layer for the next generation of AI.

TheNewsCrypto01/15 04:41

Ozak AI x Openledger xSpaces Dives Into Trustworthy Data Infrastructure for Autonomous AI

TheNewsCrypto01/15 04:41

Jensen Huang Announces 8 New Products in 1.5 Hours, NVIDIA Fully Bets on AI Inference and Physical AI

NVIDIA CEO Jensen Huang unveiled eight major announcements during his CES 2026 keynote, focusing on advancing AI inference and physical AI technologies. The centerpiece was the NVIDIA Vera Rubin POD AI supercomputer, which integrates six custom chips—Vera CPU, Rubin GPU, NVLink 6 Switch, ConnectX-9 SuperNIC, BlueField-4 DPU, and Spectrum-X CPO—designed for协同 performance. The Rubin GPU offers 5x higher inference and 3.5x higher training performance than Blackwell, with support for HBM4 memory. The Vera Rubin NVL72 system delivers 3.6 EFLOPS in NVFP4 inference performance in a single rack, with enhanced memory bandwidth. NVIDIA also introduced the Spectrum-X Ethernet CPO for improved power efficiency, a推理上下文内存存储平台 to optimize KV cache storage and reduce recomputation, and the DGX SuperPOD based on Rubin architecture, cutting token costs for large MoE models to 1/10. On the software side, NVIDIA expanded its open-source offerings, including new models and datasets, and emphasized the rise of physical AI. The company open-sourced the Alpha-Mayo model for autonomous driving, enabling reasoning-based decision-making, and announced production-ready NVIDIA DRIVE platforms for Mercedes-Benz. Partnerships with Siemens and robotics firms like Boston Dynamics were highlighted, underscoring NVIDIA’s full-stack approach to AI infrastructure and real-world AI applications.

marsbit01/06 04:36

Jensen Huang Announces 8 New Products in 1.5 Hours, NVIDIA Fully Bets on AI Inference and Physical AI

marsbit01/06 04:36

Where Are the Promised Robotaxi and Mars Landing? Musk's 2025 Ends with 'Zero Deliveries'

As 2025 concludes, Elon Musk's major promises for the year—spanning autonomous vehicles, AI, government spending cuts, and space exploration—have largely gone unfulfilled. Tesla’s Robotaxi service, which Musk claimed would cover half the U.S. population and operate without human safety drivers by year-end, remains limited to parts of Austin, Texas, and still requires in-car monitors. The Department of Government Efficiency (DOGE), led by Musk, failed to cut $2 trillion in federal spending as pledged; instead, government expenditure increased by approximately $248 billion in the first 11 months of 2025. In artificial intelligence, xAI did not achieve General Artificial Intelligence (AGI) as Musk had projected. The demonstration of the long-delayed Tesla Roadster, potentially featuring “flying car” technology, also did not occur. Additionally, SpaceX’s goal of landing humans on Mars by 2025—a timeline Musk had repeated since 2016—was not realized. These repeated shortfalls have led to growing skepticism regarding the reliability of Musk’s public timelines and commitments.

比推12/31 15:37

Where Are the Promised Robotaxi and Mars Landing? Musk's 2025 Ends with 'Zero Deliveries'

比推12/31 15:37

How Does x402 V2 Enable Autonomous Payments for AI Agents?

The x402 protocol, initially developed by Coinbase, leverages the HTTP 402 status code to embed payment logic directly into web requests. The newly released V2 upgrade introduces significant improvements to address limitations in cross-chain support, scalability, identity authentication, and repeated payments experienced in V1. Key enhancements include: - **Wallet Identity and Reusable Sessions**: Supports wallet-based authentication (e.g., Sign-In-With-X via CAIP-122), allowing reusable sessions after initial payment. This reduces latency and costs for high-frequency use cases like AI agent tasks and LLM inference. - **Unified Payment Interface**: Enables multi-chain payments (e.g., Base, Solana) and compatibility with traditional systems (ACH, SEPA, credit cards) via Facilitators. Dynamic payTo routing allows context-aware pricing and complex market structures. - **Modular Architecture**: A plugin-driven SDK simplifies integration, supporting easy expansion to new chains and payment methods without core changes. Multi-Facilitator support automates optimal payment path selection based on preferences. - **Automatic Discovery**: Services can expose metadata for automatic synchronization, ensuring real-time pricing and availability updates without manual intervention. For end-users, V2 enables seamless, subscription-like access with reduced friction. Developers benefit from flexible, low-maintenance payment integration and dynamic pricing models. AI agents gain autonomy to make economic decisions, such as purchasing API calls or compute resources independently using allocated budgets. x402 V2 evolves from a pay-per-use tool into a versatile economic layer, though challenges like ecosystem adoption, modular risks, and regulatory uncertainty remain.

比推12/12 12:36

How Does x402 V2 Enable Autonomous Payments for AI Agents?