By July 2025, with artificial intelligence deeply included in the global digital ecosystems, privacy concerns have intensified, leading to reassessing traditional data practices. There are three Blockchain-Oraichain, Pinlink, and RSS3-appearing as pivotal players in reshaping the artificial intelligence systems to determine the priorities and independence of the user. Their methods collectively challenge the dominance of central data models, as it provides decentralized alternatives in line with the principles of transparency and the use of the user [1].
The Oraichain frame provides an authenticable AI processing model, and take advantage of encryption tools such as zero proofs to ensure compliance with the rules for preserving privacy. Although it is not known about anonymous data, the statute enables users to audit how to deal with their information in artificial intelligence models. For example, the user can verify that the model that has been trained in his data does not maintain the specific information, which enhances confidence without prejudice to the benefit of artificial intelligence outputs. This contradicts sharply with the systems of dark corporate, as the use of data remains hidden behind the property algorithms [1].
Pinlink deals with privacy through a central implementation model, allowing users to access safe encoded account environments. By obtaining reliable account resources from its market, users can run sensitive tasks – such as artificial intelligence training – with isolated pockets. The “Compute-To-Data” approach guarantees that the initial data remain coded and is never exposed to third parties, including cloud service providers. The platform focus is on safe and intense implementation with the increasing demand on artificial intelligence tools that reduce exposure to data while maintaining high performance [1].
RSS3, on the other hand, enables users to control their digital information through the open information layer. This system allows individuals to organize their data extracts and give selectively access to applications. For example, the user may share anonymous behavioral data with the AI service while maintaining full vision on what is shared and with whom. By converting the default from the exploitation of data to the user’s approval, RSS3 redefines the relationship between individuals and AI, and the position of independence and privacy in the heart of digital reactions [1].
Together, these platforms constitute a founding infrastructure for the development of the first privacy. Oraichain logic guarantees the verification of transparency in data processing, the decentralized implementation of Pinlink, and the RSS3 design centered around users, determines property rights. Their integration in the ecosystem of the Web3 allows the transformative capabilities of AI without erosion of personal privacy, and addressing regular challenges such as data violations and monitoring capitalism [1].
The repercussions of these developments go beyond theoretical benefits. In the landscape where confidence in the central systems is eroded, Oraichain, Pinlink and RSS3 offer a plan to adopt moral artificial intelligence. However, the challenges, including the technical complexity to expand the scope of decentralized solutions and the need to teach the user regarding the management of encryption tools. At the present time, these platforms show that privacy and innovation of artificial intelligence are not mutual but complementary [1].
source: [1] [A look at privacy in an AI-driven world: How Oraichain, Pinlink, and RSS3 offer new models] [https://ambcrypto.com/a-look-at-privacy-in-an-ai-driven-world-how-oraichain-pinlink-and-rss3-offer-new-models/].
