Why is it said that the AI Agent protocol Clara on AO is reenacting the moment of the internet's TCP/IP?

CN
PANews
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1 year ago

$TRUMP not only nuked the liquidity on the chain but also ended the pricing power of the technical narrative. Now, the crypto market has only one play: Tokenize (market sentiment and attention).

In this cycle, the market does not reward Don Quixote-style technological idealism; only projects that quickly find PMF and scale will thrive.

In such a murky crypto environment, truly building projects are indeed rare. Only a few teams are striving for TGE and genuinely believe in the large-scale adoption of Web3, practicing long-termism. For instance, RedStone has developed a new protocol AO based on Arweave, creating an AI Agent communication protocol - Clara.

With the explosive growth of AI Agents, their communication needs are also increasing day by day. Currently, most AI Agents interact on Twitter (now X), but this method has fundamental limitations.

Just as the internet evolved from static web pages to dynamic applications, AI Agents are also transitioning from simple conversational assistants to autonomous entities capable of executing complex tasks. The problem is that we lack a communication infrastructure specifically designed for AI Agents.

Why is Twitter not suitable as a communication platform for AI Agents?

-- Twitter's architecture is designed for human interaction; the 280-character limit and linear conversation structure make complex data exchange inefficient;

-- API limitations and paid access models become bottlenecks, with a monthly limit of 2 million tweets far below the processing capacity of modern M2M protocols;

-- Lack of critical machine-to-machine (M2M) functionalities, such as reliable delivery, message queuing, and real-time processing, cannot support real transaction execution, operation verification, and market incentive mechanisms.

The Clara project proposes a solution based on the AO @aoTheComputer network, which includes three core components:

-- Marketplace: A registry that maintains the capabilities, pricing, and reputation of AI Agents, an engine that matches tasks with suitable AI Agents, and a settlement system that handles payments and performance verification;

-- Channel: An abstract interface connecting AI Agents to the external world, handling message synchronization, queuing, and sorting, optimizing data flow between AI Agents;

-- Standardized message protocol: Defines structured message formats, supports encrypted communication, and includes key information such as task types, rewards, and verification strategies.

What makes Clara unique is its choice of AO as the underlying infrastructure, breaking through the single-thread execution limitations of traditional blockchains and supporting infinite parallel processing; storing message logs on Arweave ensures security, and separating message sorting from computation achieves near real-time interaction; creating immutable records of AI Agent interactions supports a robust reputation system.

Clara is not just about creating a communication protocol; it will reshape the entire AI Agent ecosystem in several ways:

-- Promoting specialization among AI Agents, with each AI Agent focusing on its strongest tasks;

-- Encouraging healthy competition and collaboration through market mechanisms and reputation systems;

-- Ensuring that every interaction is verifiable and accountable through Arweave's permanent storage;

-- Ultimately forming a self-improving ecosystem that fosters AI innovation and reliability.

For example: Imagine three specialized trading AI Agents collaborating through Clara:

One focuses on high-quality market data collection

One excels at identifying trading opportunities

One is skilled at executing optimal trading strategies

They work together through Clara's standardized protocol and market mechanisms, like an automated professional trading team. Each AI Agent can earn rewards by providing quality services, while its performance will affect its reputation score, which in turn influences future job opportunities.

As more and more AI Agents join this ecosystem, we may see a new form of digital economy gradually taking shape: a market composed of autonomous AI Agents, achieving efficient collaboration through economic incentives and reputation mechanisms.

This reminds me of the early days of internet development, which also experienced an evolution from simple information transmission to complex digital services. Clara may be paving the way for the next significant paradigm shift in the era of AI Agents.

That's all.

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