NGP

Zhao Changpeng: Now might be a good time to launch a dark pool perpetual DEX

ChainCatcher news, Binance founder Zhao Changpeng posted on X stating, "Given the recent events, I think now might be a good time to launch a dark pool perpetual decentralized trading platform (DEX). I have always been puzzled by the fact that everyone can see your orders in real-time on a DEX. This issue is even more severe on perpetual decentralized trading platforms where liquidation exists. Even in the order books of centralized exchanges (CEX), orders are not associated with specific individuals, but if you want to buy a certain cryptocurrency worth $1 billion, you typically wouldn't want others to notice your order before it is completed. Otherwise, others might jump in and buy ahead of you, effectively front-running your trade. In a DEX, this could lead to MEV attacks. This would result in increased slippage, worse prices, and higher costs for you. Therefore, large traders in TradFi use dark pools, which are usually 10 times larger than 'lit pools' (i.e., regular order books).""For perpetual contracts (or futures), it is even more important not to let others know/see your orders. If others can see your liquidation point, they might try to push the market to liquidate you. Even if you have $1 billion, others might band together against you. This might be what we have seen recently." "The opposing viewpoint I see is that increasing transparency can allow market makers to absorb your large orders. This might be true. I don't want to argue which statement is right or wrong. Different traders might prefer different types of markets. Now might be a good time to launch an on-chain dark pool-style DEX + perpetual contracts, either not displaying the order book or, better yet, not displaying the deposits of the smart contracts at all, or showing them much later. This should be achievable through zero-knowledge proofs or similar cryptographic technologies."

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.
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