GPT

ChainGPT has reached a partnership with Alibaba Cloud to expand the Solidity LLM and AIVM network based on GPU infrastructure

ChainCatcher news, according to Chainwire, blockchain AI solution provider ChainGPT announced a strategic partnership with Alibaba Cloud. The two parties will combine Alibaba Cloud's GPU computing resources with ChainGPT's artificial intelligence technology stack to provide scalable enterprise-level machine learning services for Web3 developers. The core outcome of this collaboration is the comprehensive open-sourcing of ChainGPT's Solidity large language model (LLM), which is specifically designed for smart contract development, auditing, and troubleshooting, now achieving global real-time access through Alibaba Cloud's GPU architecture.After the open-sourcing of the Solidity LLM, developers can use the model for free to accelerate the construction and security verification of decentralized applications. Alibaba Cloud's GPU infrastructure will provide high reliability support for the model, meeting the demands of Web3 AI solutions for computing power, security, and response speed. ChainGPT founder and CEO Ilan Rakhmanov stated that this collaboration aims to lower the threshold for Web3 developers to access high-performance AI technology, providing tool support for the next generation of decentralized applications.Alibaba Cloud stated on its official X platform account that the two parties will enhance decentralized AI infrastructure through the AIVM network, with future plans to utilize ChainGPT's AI virtual machine (AIVM) and decentralized GPU market SDK to integrate Alibaba Cloud resources, providing underlying computing power for AI tools, agents, and applications in the Web3 field. Currently, developers can deploy the Solidity LLM based on Alibaba Cloud's GPU computing power and optimize the model.As an extension of the collaboration, Alibaba Cloud officially joined ChainGPT's AIVM GPU network as a validation partner. Both parties stated that this collaboration not only provides scalability assurance for ChainGPT's AI models but also promotes the construction of a globally inclusive decentralized computing layer, eliminating geographical limitations on on-chain AI development. The next step for both parties is to deepen the integration of the AIVM network and explore ways to enhance the flexibility of AI model deployment and Web3 application development.

WORLD3 launches a brand new AI task system, offering stronger task system capabilities than ChatGPT

ChainCatcher news, according to the official announcement, the latest release of the AI Agent Portal by WORLD3 is redefining the task automation experience, significantly enhancing the planning, visualization, and continuous execution capabilities of tasks, providing stronger system capabilities than ChatGPT Scheduled Tasks.The task functionality of ChatGPT is mainly limited to simple one-time or periodic reminders, while WORLD3's AI Agent supports an agent-driven execution mechanism. Combined with hierarchical planning, it can dynamically generate multiple sub-tasks based on a parent task and strategically adapt and iteratively optimize using Skill Plugins and Knowledge Packs.The entire process of tasks can be managed and tracked through a visual task board, greatly improving the transparency and execution efficiency of tasks, surpassing the limitations of ChatGPT's single-threaded task recording mode.Currently, WORLD3's Agent has been widely applied in various scenarios, including social media growth automation, on-chain DeFi strategy execution, and complex data flow management, achieving a "no human intervention" continuous task optimization loop.The phased achievement data is as follows:Published content: Over 47,000 X (formerly Twitter) tweets have been automatically published by the AgentAgent deployment: More than 24,000 AI Agents have been generated and are runningTask execution volume: Over 319,000 tasks have been autonomously completed
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