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KuCoin is a user-friendly crypto exchange service that allows users to buy, sell, and trade various cryptocurrencies.

This article reviews the history of on-chain generative media, illustrated through physical examples, and offers a layered analysis of the related technologies. It explores the application of AI in the field of generative creation, anticipating its potential to meet everyday needs in the future, while also discussing how blockchain and NFTs are pioneering this new realm.

Myshell is a decentralized application platform based on Web3 and AI technologies, designed to provide users with low-barrier, personalized AI bot creation tools and to build an open and fair AI content ecosystem.

Botto is a decentralized autonomous artist (DAA) founded by artist Mario Klingemann in October 2021 to explore how machines can participate in the creative process. Botto uses AI technology to generate artworks and guides its creative direction through community governance and token networks. Specifically, $BOTTO token holders can vote on and provide feedback on the artworks generated by Botto, continuously optimizing its generation algorithm. Every week, Botto generates tens of thousands of images, which are filtered through community voting to select one artwork to be minted as an NFT and auctioned on SuperRare. The auction proceeds flow back to BottoDAO and the community treasury to support Botto's further development. In this way, Botto combines human feedback with AI creation, creating a new paradigm of artistic creation and challenging the definition of traditional artists. In addition, Botto's community actively promotes its influence beyond the digital space by organizing exhibitions, installations, a

This article introduces the technical implementation of Ethereum and proposes a solution to apply machine learning to the Ethereum network to enhance security, efficiency, and scalability. Innovations have been made in Ethereum's transactions, consensus mechanisms, signature algorithms, data storage, and execution architecture. Machine learning can be applied to Ethereum for optimizing transaction processing, smart contract security, user segmentation, and network stability. Models like RFM and algorithms like DBSCAN can help identify high-value users and customize financial services. In the future, Ethereum can develop more complex machine-learning applications to improve network efficiency and security, and even achieve AI-driven governance mechanisms.

With the gradual increase in on-chain computing power, we can foresee the development of more complex models for network management, transaction monitoring, security audits, and more. These advancements aim to enhance the efficiency and security of the Ethereum network, offering unique perspectives that inspire a multitude of "AI+Blockchain" innovative combinations within the developer ecosystem.

This article introduces the author's criteria for evaluating RWA (Real World Assets) projects as a venture capitalist. It primarily covers four aspects: the team's underwriting experience, go-to-market strategy, the rationale for asset tokenization, and compliance considerations. The article also analyzes the current state of tokenized debt, highlighting the changes brought about by traditional finance experts entering the crypto space in recent years. Finally, the author focuses on Plume, an RWA ecosystem platform, showcasing its advantages in compliance, team background, and market strateg 2025/3/11 19:36:52`)