On May 17, the SFT Blockchain announced a new partnership with the PalmCode platform. The announcement was shared on X and stated that the cooperation combines traditional palm reading with machine learning techniques. The goal is to offer users insights into personality and life paths with clear data control. User privacy and transparency were emphasized as key principles in the message. This statement invited participants to explore self-understanding in a digital setting.
PalmCode Shares Details on Decentralized Infrastructure Collaboration
Shortly before this, the PalmCode platform also shared details about the joint initiative. That post described the SFT Blockchain as a fully generalized DePIN DAO connecting real infrastructure. It noted a cross chain framework designed to bridge physical assets and Web3 applications. Decentralized computing, storage, and delivery tools were mentioned as foundational building blocks. It highlighted scalability and access improvements through a robust decentralized infrastructure.
A central benefit of SFT Blockchain is adding liquidity to assets locked for long periods. Through a decentralized protocol, users can stake tokens and mint new transferable assets. These assets become usable across a range of applications beyond simple holding. On-chain operations include staking, lending in DeFi, participating in DAOs, and deploying infrastructure. This network design supports dynamic interactions and secure data handling for users and applications. The approach aligns with decentralized principles and prioritizes user control over assets.
How User Data Remains Private in a Decentralized Framework?
The modular design of the SFT Blockchain enables seamless communication across diverse networks. Asset exchange and interoperability work smoothly even when users operate on different chains. Smart contracts and decentralized nodes handle operations without central points of failure. This structure offers robust security and supports privacy for personal data management. Users maintain control over their own information within a decentralized environment. The framework aligns with neutral reporting of technical capabilities and user benefits.
A significant feature involves AI palmistry integrated with decentralized infrastructure for analysis. Deep learning models examine palm lines to produce insights about personal traits and tendencies. This analysis aims to offer objective data rather than interpretive or faith based conclusions. By using a decentralized network, the service reduces dependence on centralized cloud providers. Users maintain confidence in data handling and model accuracy under neutral governance. This approach supports transparency and aligns with general goals of Web3 based tools.
Decentralized Marketplace Connects Devices and Services
A broader ecosystem operates as a marketplace connecting hardware, software, and blockchain services. This framework creates revenue opportunities for device owners, node operators, and application developers. It also allows tokenization of physical infrastructure and scalable data processing across nodes. Biometric capture devices or mobile sensors could integrate seamlessly through neutral protocols. This design can support AI services with efficient and secure data transmission. Token rewards can reflect real-world usage and drive user engagement in decentralized networks.
SFT Protocol’s Role in Real-World Web3 Integration
On May 14, SFT Protocol announced a partnership with the Atleta Network. Atleta Network focuses on sports, asset tokenization, and decentralized commerce. It has handled over twenty-four million transactions and supported nearly one million wallets. Through this agreement, SFT Protocol provides decentralized storage and computing services for sports and tokenization use cases. Both partnerships, PalmCode’s AI palmistry integration and Atleta’s sports infrastructure, highlight SFT Protocol’s versatile DePIN approach. They demonstrate the network’s ability to support diverse real-world Web3 services with technical precision. This connection aligns with the article’s broader theme of merging infrastructure with user-centered applications.
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