TL;DR
- Proof of Response (PoR) is a mechanism developed by NEAR AI to guarantee the availability and efficiency of services in decentralized networks.
- PoR allows users to verify the availability of services, sanctioning providers who do not respond within the established parameters.
- NEAR Protocol aims to optimize the operation of interconnected AI agent networks, ensuring their availability and security for tasks such as travel management or shopping.
The concept of Proof of Response (PoR), developed by the founders of NEAR AI, promises to offer an innovative solution to improve the usability and efficiency of services in decentralized networks.
This mechanism presented by NEAR aims to ensure that services within these networks, such as artificial intelligence (AI) agents or blockchain-based platforms, respond effectively to user requests, ensuring more reliable and competitive performance.
In decentralized systems, such as those based on blockchain technology, interactions between nodes can be affected by instability or lack of response from some participants. PoR provides a solution to this problem by allowing users to verify if a service is available and functioning correctly.
This mechanism is based on a network of intermediaries that connect service providers with users, creating a response path where participants are incentivized to ensure that their services operate within the promised parameters.
NEAR Protocol Creates a Network of Intermediaries Between Services and Users
A practical use case for PoR would be the interaction between a personal AI agent and a specialized weather forecasting agent. If the personal agent cannot obtain weather information due to the lack of response from the weather server, the PoR system ensures that the non-responsive agent is financially sanctioned, offering compensation or proof that the service is not functioning correctly. This type of mechanism aims to prevent a failure in one node from affecting the entire network.
Interconnected AI Agents
NEAR Protocol has a special focus on creating interconnected AI agent networks that can guarantee not only availability but also information security. In the near future, millions of AI agents are expected to work together to perform human tasks, such as managing travel, shopping for products, or planning daily activities. Through PoR, NEAR aims to ensure that each of these agents is available and operating correctly, optimizing the overall performance of decentralized networks.
This advancement has the potential to transform many sectors, from data storage to service provision on decentralized platforms. By allowing service providers to guarantee their uptime and enabling consumers to verify it, PoR could contribute to a more reliable and efficient ecosystem for all involved parties.
