[NEAR co-founder Illia Polosukhin details three major ecosystem-building directions for AI, cross-chain payments, and privacy transactions]
In his latest post, Illia Polosukhin, NEAR co-founder, emphasized that the core competitive edge of the ecosystem has shifted from purely technology development to building applications and establishing distribution channels. He specifically pointed out three concrete directions with high potential for real-world value:
First, leveraging NEAR AI’s on-chain verifiable reasoning technology to build applications such as AI electronic pets using NFTs, and developing a decentralized encyclopedia generated by AI in combination with prediction markets. Second, advancing general checkout components that support payments with full-chain intents (Intents), as well as a privacy-focused OTC trading market based on the Intents mechanism. The market is designed to enable protection against liquidation loans and to manage perpetual contracts, using view-key technology to support privacy-preserving follow-on trading. In addition, he mentioned AI benchmarking using private test sets and an end-to-end encrypted medical decision-support diagnostic system as application scenarios for privacy computing.
On the distribution layer, Polosukhin suggested that developers use Aurora Intent Connect to lower the compatibility barrier for multi-chain wallets, and expand user reach through cross-community platforms such as NEARLegion, X, and Product Hunt. These directions aim to reshape NEAR’s developer activity and improve application distribution efficiency by lowering cross-chain barriers and enhancing the security of privacy transactions. Going forward, it’s important to track the actual integration progress of the related intent-payment components and the protocol launch status of the privacy OTC market.
$NEAR
In his latest post, Illia Polosukhin, NEAR co-founder, emphasized that the core competitive edge of the ecosystem has shifted from purely technology development to building applications and establishing distribution channels. He specifically pointed out three concrete directions with high potential for real-world value:
First, leveraging NEAR AI’s on-chain verifiable reasoning technology to build applications such as AI electronic pets using NFTs, and developing a decentralized encyclopedia generated by AI in combination with prediction markets. Second, advancing general checkout components that support payments with full-chain intents (Intents), as well as a privacy-focused OTC trading market based on the Intents mechanism. The market is designed to enable protection against liquidation loans and to manage perpetual contracts, using view-key technology to support privacy-preserving follow-on trading. In addition, he mentioned AI benchmarking using private test sets and an end-to-end encrypted medical decision-support diagnostic system as application scenarios for privacy computing.
On the distribution layer, Polosukhin suggested that developers use Aurora Intent Connect to lower the compatibility barrier for multi-chain wallets, and expand user reach through cross-community platforms such as NEARLegion, X, and Product Hunt. These directions aim to reshape NEAR’s developer activity and improve application distribution efficiency by lowering cross-chain barriers and enhancing the security of privacy transactions. Going forward, it’s important to track the actual integration progress of the related intent-payment components and the protocol launch status of the privacy OTC market.
$NEAR