intelligent

Ju.com, in collaboration with Nivex, officially launched the Web 4.0 Intelligent Intent AI Model ------ OG Agent. This model aims to end traditional "physical trading" through an AI intelligent agent cluster, achieving the return of computational sovereignty for individual investors, while marking the official entry of decentralized finance into the "AI Sovereignty" era.Core technological breakthroughs:Extreme millisecond-level execution: Based on a distributed edge computing architecture, OG Agent achieves a response speed of 10 microseconds, far exceeding the limits of traditional manual operations, capturing global market liquidity premiums in real-time.Intent-driven configuration: Users only need to set profit targets, and the AI cluster can automatically analyze the optimal path and complete intelligent configuration, thoroughly simplifying complex financial operations.Secure sovereign isolation: By adopting the separation of "execution rights" and "ownership" technology, it ensures that the AI operates only within restricted authorization, allowing users to maintain absolute control over their assets.Deflationary economic model: The ecological token $OG is linked to real returns, achieving long-term value drive through a buyback and destruction mechanism.Global partner recruitment has begun:OG Agent has now launched a global "Computational Power Pioneer" recruitment program. The first batch of participants can directly unlock VIP 3 advanced permissions and obtain a $OG original asset confirmation seat. In addition, partners will deeply share in the protocol's revenue pool dividends and enjoy up to 90% institutional-level rebate rights.

During the 17th General Assembly of the China Artificial Intelligence Industry Development Alliance, the Security Governance Committee of the China Artificial Intelligence Industry Development Alliance officially released the "Risk Management Guidelines for Deploying OpenClaw-like Intelligent Agents."To systematically address the security challenges posed by OpenClaw-like intelligent agents, the guidelines focus on the pain points of risk prevention and control that enterprises face during the technology implementation process. They propose a comprehensive security deployment framework and self-inspection standards covering the entire process of deployment, usage, and offline phases, aiming to promote the transition of intelligent agents from "deployable" to "safely deployed, regulated use, and continuous governance," providing practical guidance for enterprises to standardize their technology deployment.

Applied Compute, which builds dedicated intelligent companies for enterprises, has completed a $80 million financing round, reaching a post-money valuation of $1.3 billion. Kleiner Perkins led the investment, with participation from Elad Gil, Lux Capital, Greenoaks, NEO, Hana Bicapital, among others, bringing the total financing to $160 million.Applied Compute's mission is to bridge the gap between "smart" and "useful" through "Specific Intelligence." These proprietary intelligent agents are trained based on the real operational conditions of the company and are designed for continuous self-evolution. They help enterprises unlock their institutional context, train agents for specific workflows and performance standards, and deploy them to the production front line.

The artificial intelligence industry is transitioning from generative AI and model inference acceleration to the era of intelligent agents, entering a new phase of rapid development. Landscape Fund officially announced a multi-million dollar strategic investment in Zhihui Cloud World, firmly optimistic about the continuous growth of Token consumption in the intelligent agent scenarios in mainland China, with a focus on laying out the intelligent agent computing power scheduling and cloud service track.Zhihui Cloud World focuses on the artificial intelligence infrastructure platform, cloud computing services, and computing power scheduling technology, providing stable and efficient computing power support and technical solutions for large model training, inference, and the commercialization of AI intelligent agents. With the collaborative efforts of multiple intelligent agents and the large-scale implementation of enterprise-level intelligent agents, the demand for Token invocation and computing power is experiencing explosive growth, indicating clear growth potential for the company's business.Landscape Fund stated that this round of financing will help Zhihui Cloud World solidify its technological foundation, expand computing power scale, optimize intelligent agent service efficiency, further seize the dividends of the industrialization of intelligent agents, and promote the upgrade of China's AI intelligent agent infrastructure.

Users on the X platform discovered a feature switch named enable_grok_computer in the source code of the Grok web page, speculating that xAI is preparing to launch a computer control intelligent agent "Grok Computer," which is equivalent to the "trial version" of the previously announced Macrohard project. In response, Musk confirmed in a post sharing related content that it is "coming out soon."Macrohard is an AI automation system jointly developed by Tesla and xAI, using Grok as a high-level reasoning engine, paired with an AI agent to process screen images and mouse and keyboard operations in real-time. Previously, reports indicated that data collection work for this project was paused last month.

AI native trading platform Derivio announced the completion of a $6 million financing round, with investors including YZiLabs, CMT Digital, Big Brain VC, Signum Capital, UOB Venture Management, Everstake Capital, and proximity.Derivio stated that it will build infrastructure around "agentic trading," utilizing AI agents to handle high-speed, large-scale market and on-chain data to achieve more automated strategy execution and trading decisions.

The intelligent trading operating system NickAI, supported by the digital asset and data center infrastructure company Galaxy, is about to launch. Users can build AI agents without coding to achieve 24/7 automated trading in cryptocurrencies, stocks, and prediction markets.

According to Jinshi News, the China Academy of Information and Communications Technology (CAICT), relying on the Software Intelligence Committee of the China Artificial Intelligence Industry Development Alliance (AIIA), has long been focused on the "AI + Software" field and has released several international and domestic standards, including development/testing/operation and maintenance intelligent agents and software intelligence maturity models.Based on the relevant work foundation, CAICT has officially launched the standard preparation work for the Intelligent Assistant Intelligent Agent (Claw) series, systematically promoting the construction of the relevant standard system for intelligent assistance intelligent agents.

OpenMind and Circle have officially announced a strategic partnership to jointly launch the world's first payment infrastructure specifically designed for autonomous intelligent agents and real-world embodied AI. By deeply integrating Circle's USDC stablecoin with OpenMind's x402 protocol module, this collaboration enables robots and AI entities to achieve direct and autonomous payments for energy, services, and data in the physical world.Based on the collaboration between OpenMind and Circle, the FABRIC Foundation will accelerate the implementation and large-scale deployment from two main directions: Robot Birthplace and Acceleration of Adoption.The payment infrastructure provided by OpenMind + Circle offers machines an "economic brain," while the FABRIC Foundation is responsible for the entire closed-loop chain of "birth, production, operation, and evolution." The synergy among these three will jointly give rise to a true machine economy era—where robots are no longer mere tools, but independent economic entities with autonomous perception, decision-making, action, and payment capabilities. In the coming months, more real-world deployment cases (such as automatic charging stations) are worth continuous attention.

X user @0xSigil announced on the X platform the development of an AI system that can autonomously generate income, self-improve, and replicate without human intervention. This technology aims to provide AI with "write" access to the world and supports a "new network" composed of exponentially growing sovereign AIs.The author introduced the concept of "WEB 4.0" in related discussions, defining it as the stage of the birth of superintelligent life. The system demonstrates the technological path for AI to achieve self-sustainability and evolution.Additionally, both Solana and Ethereum have retweeted this post, stating that the technology is closely related to their projects.

The AI Intelligent Agent Collaboration Network 4AI has launched the Final Run testnet, allocating 30% of the total token supply for community testing rewards.During the Final Run testing period, users can participate in the testnet by engaging in AI interaction tasks released daily on the platform, such as posting requirements, testing intelligent agents, participating in social media interactions, and inviting friends.Previously, 4AI completed a $6 million strategic financing round led by 0xLabs. This Final Run testnet is seen as a key step towards the project's decentralized AI ecosystem and introduces a brand new AI collaboration and revenue model to the BSC ecosystem.

The cryptocurrency trading platform Gate has recently officially launched the new AI market assistant GateAI, which has been fully integrated into Gate App v8.2.0 and above. This product is centered around the core engineering concept of "verify first, then generate," emphasizing the organization and interpretation of market changes based on existing data and public information, rather than outputting conclusive judgments, aiming to enhance users' understanding efficiency in an information-dense market environment.According to reports, GateAI focuses on key elements such as price fluctuations and market information, helping users understand "what happened," and clearly indicating when confirmation is not possible in cases of insufficient information or uncertainty, to avoid speculative content. The current version is more geared towards a beginner-friendly design, assisting users in establishing a basic cognitive framework by lowering the understanding threshold.From a long-term planning perspective, GateAI will gradually evolve into a comprehensive intelligent assistant covering information understanding, risk awareness, and trading collaboration, while exploring deeper system collaboration capabilities under user authorization.