To foster widespread adoption in the Web3 landscape, we must deliver an experience that matches the familiarity and engagement users expect from Web2 platforms. According to Han Jin, CEO and co-founder of Bluwhale, during a recent Cointelegraph X Spaces session, platforms like Spotify and YouTube excel in quickly connecting users with content that resonates with them. This level of tailored experience is crucial for a smooth transition into Web3.
Bluwhale’s distinct value proposition aligns with this shift toward user-focused experiences. The platform introduces a decentralized AI personalization protocol that links users with businesses based on contextual insights. “We like to think of ourselves as the Tinder of Web3,” Jin remarked humorously, “as we assist enterprises in pinpointing their ideal audience and facilitating those connections.”
Empowering users through data ownership is central to Bluwhale’s mission. Users have the ability to connect their wallets, claim their blockchain identities, integrate social profiles, and provide additional insights. Unlike conventional platforms, Bluwhale empowers users to monetize their data.
Companies seeking specific user demographics can access these profiles. As interest in a particular user’s data increases, Bluwhale implements a tiered pricing mechanism that raises costs for additional access. Jin pointed out, “In Web2, platforms like TikTok and Facebook start small and gradually enhance their AI capabilities. On the blockchain, however, a vast array of applications generates data—from gaming to decentralized finance (DeFi). This results in a much richer and more comprehensive dataset for each user.”
Moreover, Jin emphasized that user privacy and security are paramount within Bluwhale’s framework. “We don’t sell personal data; we create a marketplace where businesses can connect with relevant individuals. At Bluwhale, we prioritize user privacy by ensuring that data is only shared with companies that users have specifically chosen to engage with. Connecting users to the right opportunities is far more valuable than simply bombarding them with advertisements.”
Transitioning from social graphs to knowledge graphs, Bluwhale takes a step beyond conventional AI models. Jin elaborated on the distinction between social graphs employed by entities like CyberConnect and Farcaster, which focus on user interactions, and Bluwhale’s advanced methodology. “While our approach is similar, we utilize a more sophisticated structure known as a knowledge graph. Imagine it as a software representation of the human brain, featuring interconnected layers of relationships, hierarchies, and information that is continuously refined by neural networks.”
Jin further explained that knowledge graphs, or knowledge spaces, offer deeper contextualization through additional layers of behavioral and profile data. This information is derived from smart contracts and decentralized applications (DApps), forming holistic user embeddings that provide a richer understanding of individuals. “By organizing data in this manner, we can develop a more intelligent AI system.”
The AI system being crafted by Bluwhale transcends basic categorization to yield nuanced, highly personalized recommendations. Jin detailed how this advanced personalization operates: “Rather than merely categorizing a user as ‘a 40-year-old male who trades crypto,’ Bluwhale AI can discern specific interests and activities, such as ‘a middle-aged male who is passionate about video gaming and has a strong interest in DeFi.’”
By grasping these intricate details, Bluwhale’s AI generates more accurate profiles, fostering a tailored experience for users—a vital aspect in promoting Web3 adoption, according to Jin.
Discussing the interplay between AI and blockchain, Jin stated, “We believe AI should serve humanity, not the other way around.” He highlighted the reciprocal benefits of both technologies: “Blockchain can significantly reduce the costs of scaling AI through open data and decentralized computing, while simultaneously enhancing AI’s efficiency and reliability. It can also validate the quality of training data. In turn, AI can boost adoption and personalization within the blockchain realm.”
This synergy paves the way for innovative approaches to decentralized AI governance. “Our BLUAI token holders will have a voice in shaping the future of AI,” Jin underscored. The upcoming node sale, scheduled from September to November 2024, will allow early supporters to obtain tokens and governance rights, empowering them to participate in data verification and guide the future trajectory of AI, while decentralizing the AI network using billions of mobile devices.
As the conversation turned to future possibilities, Jin envisioned a world where digital interactions transform into valuable assets. “As we engage with various digital services, our data accumulates,” he explained. “In the future, every digital transaction and interaction will leave a digital footprint, effectively turning individuals into quantifiable financial units—creating an entirely new asset class and a financial system that currently doesn’t exist.”
This evolution towards data ownership and control could revolutionize how individuals navigate the digital realm, placing users at the helm of their data and fostering new economic models based on data as a valuable asset.
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