Pundi AI Emerges as Web3 AI Data Leader Amid TVL Critique

- AI-readable Data: A Vital Asset in the AI Economy - Pundiai Gains Attention as Web3 AI Infrastructure [Unblock Media] The claim that AI-readable data will become the cornerstone of the next-generation economy has sparked various opinions. A single tweet by Danny (@danny_chain) has refocused attention on the intrinsic value of data in the Web3 and AI industries. As the digital economy accelerates, data is being recognized not just as a byproduct, but as an asset. Specifically, AI-readable data structured in a form that AI can learn from acts as crucial fuel for AI agents, predictive models, and recommendation systems. For example, data designed in a form that machine learning can understand—such as on-chain transactions with semantic tags, user behavior logs, and structured metadata—enables automated decision-making. Conversely, Danny has shown a critical perspective on metrics centered around TVL (Total Value Locked) and FUD (Fear, Uncertainty, Doubt). He argues, "TVL and FUD-based incentives are merely short-term number inflation." In reality, one famous DeFi (Decentralized Finance) project in mid-2023 rapidly increased its TVL through liquidity rewards but saw low actual user participation, resulting in massive withdrawals and a collapse in trust in the project. This demonstrates that the market values actual substance over mere numbers. At the heart of this discourse is a project called Pundiai. According to the tweet, Pundiai is a project that holds the largest AI dataset and token pool within the Web3 AI data layer. Beyond just holding data, it provides infrastructure that allows AI agent developers to access structured data based on tokens. This suggests that Pundiai could become a crucial provider and connection hub in the future AI agent economy. With the combination of Web3's philosophy of data ownership, transparency, and decentralization and AI, the approach to data collection and usage is reaching a new turning point. The era of merely accumulating data has ended, and we are entering an era where only 'meaningful data,' structured in a form that AI can read and interpret, holds competitive value.