Aurora Co-founder Alex Shevchenko Claims NEAR Powers the Future of the Internet

On May 26, Alex Shevchenko, co-founder of Aurora, shared a post on X. He argued that Near Protocol serves as foundational infrastructure for the internet’s future. Shevchenko emphasized the platform’s long-term potential to progress beyond simple AI functions. This remark responded to Near’s Twitter handle’s statement about user-friendly blockchain features. That statement was about Near’s role in blockchain usability and decentralized application support. It highlighted support for AI agents acting effectively on behalf of platform users. The goal is to achieve interoperability between multiple blockchains through flexible developer tools.

AI Adoption Through User Participation with Near

Recent developments illustrate how Near Protocol supports AI adoption through user participation. On May 26, PublicAI launched a global incentives program for language contributors. Native speakers can record thirty minutes of audio to train machine learning models. Participants verify language skills by passing a quiz before submitting their recordings. They also review others’ uploads and cast votes on recording quality. Top contributors share rewards from a budget exceeding five hundred thousand dollars. The program seeks speakers in languages such as English, Mandarin, and Arabic. Incentives drive broad participation and strengthen community-driven data collection efforts.

Another feature from Near introduces agent multiplication for enhanced AI agent efficiency. A single AI agent can spawn specialized units tailored to specific user tasks. For instance, one agent coordinates travel arrangements while others handle weather checks. Child agents manage restaurant bookings, personal schedules, or local information requests. This approach forms a network of collaborative AI agents mimicking human team structures. Developers can customize each agent’s role to support diverse user requirements. 

Near Targets One Million Transactions Per Second for Scalability

At the core, Near Protocol uses a modular design for high-speed blockchain performance. The Nightshade sharding structure enables parallel execution and low latency globally. Bowen Wang cites ambitions to process up to one million transactions per second. This capacity supports cross-chain interoperability and scalable decentralized application growth. Developers benefit from reliable infrastructure when integrating AI into decentralized applications. Users can expect consistent performance even during peak network usage periods.

Near’s roadmap includes zero-knowledge proofs for secure transaction verification. It also supports chain signatures to connect with external blockchain networks efficiently. These tools improve security and data integrity across multiple chains and environments. Combined features aim to simplify blockchain use and foster broader AI use cases. Developers can verify transactions without exposing user data or sensitive details publicly. The design encourages a secure, scalable environment for decentralized applications to flourish. Such advances support both developer experimentation and real-world blockchain projects worldwide. 

Aurora’s Role in Expanding Decentralized Applications on Near 

Aurora operates as a virtual chain built on Near Protocol’s core infrastructure. It provides an Ethereum Virtual Machine environment for compatible application deployment. Developers can leverage low fees and scalability when moving Ethereum apps to Aurora. Staking and liquidity pools offer new revenue channels within this ecosystem. Aurora demonstrates how Near can handle high-throughput, blockchain-compatible applications. This example highlights the integration potential for diverse decentralized application use cases. It also showcases secure cross-chain support for advanced blockchain experiments. 

Near Protocol’s Strategy Bridges Blockchain and AI

The overall strategy positions Near at the intersection of blockchain and AI technologies. Simplifying blockchain use, it lets developers focus on creative AI integration. Tools for scaling and verification support secure decentralized applications growth globally. Agent multiplication and modular design expand possibilities for AI functionality across tasks. Incentive programs like PublicAI encourage real-world contributions to machine learning datasets. Aurora’s Ethereum compatibility further demonstrates Near’s versatile ecosystem potential. These advances suggest a practical path for blockchain and AI harmony.