"Why I am optimistic about @Mira_Network becoming a shining new star in the future AI track" In the previous article, I only introduced how to participate in Mira, and many friends mistakenly thought I was optimistic about it just to boost Yapper scores. In fact, I personally have a strong belief in the Mira project itself and its future development. First of all, those who have read my previous articles should know that I am very optimistic about the future development of AI in the blockchain space. My small studio is currently screening projects to participate in, primarily focusing on AI. ✍️ So why am I so optimistic about AI + web3? Let me first explain why I am optimistic about the AI track. The immutability and traceability of blockchain data can provide high-quality, trustworthy data sources for AI. Meanwhile, AI can efficiently process massive amounts of data, bringing intelligent automated decision-making and governance optimization to on-chain systems. It can be said that there is a natural complementary relationship between AI and blockchain. However, the rapid development and widespread acceptance of AI in the past two years have achieved what blockchain technology has not been able to do in over a decade. If we say that the past ten years of blockchain solved the problem of "how to collaborate without trust," then the next decade will face the challenge of "how to collaborate efficiently, intelligently, and autonomously in complex environments." This is precisely the stage where AI can play a role. Whether it is on-chain model markets, smart wallets, AI auditing, predictive governance, or fully autonomous AI Agent networks, blockchain needs AI to become smarter, safer, and more user-friendly. It can be said that the AI track is currently one of the most watched tracks in the industry. Earlier this year, Solana held an AI Hackathon, attracting over 400 projects to participate, and various AI concept tokens have also sparked a wave of enthusiasm. The BSC chain has also announced the creation of an AI-friendly blockchain, providing a series of solutions for AI Agents and continuously hosting AI Hack events to support outstanding projects. Currently, over 30% of the native tokens on the BSC chain are AI concept tokens. Indeed, during the previous hype, many tokens claiming to be AI concepts were essentially no different from memes, but as CZ @cz_binance mentioned in a tweet: "True builders will remain after the hype. Only projects that continue to work after the wave of speculation are the real gold." ✍️ Given this optimism about the development of the AI track in blockchain, why do I believe @Mira_Network will be a shining new star in the future AI track? First, Mira is a decentralized AI infrastructure dedicated to building a consensus layer to address the hallucinations and biases that arise from AI output. This direction is relatively novel in the crowded AI track. So what are hallucinations and biases? We can think of AI as a child; sometimes it provides irresponsible, factually incorrect answers to complete a response, which we call hallucinations. At the same time, during the education process, the training data may inevitably carry established biases and inequalities due to geographical factors, causing AI to gradually lose neutrality as it grows, resulting in systemic errors or discriminatory outcomes, which we refer to as biases. Biases can accumulate over time and are more difficult to identify than hallucinations, posing a more hidden and dangerous threat to the information ecosystem. To reduce biases and hallucinations in AI systems, Mira Network provides a solution by introducing a decentralized consensus mechanism. This mechanism allows multiple independent AI models to verify each output, ensuring that the final result approaches fairness and accuracy. Mira breaks down AI outputs into independent factual statements, which are cross-verified by heterogeneous models provided by node operators, requiring consensus from over 2/3 of the nodes to pass. This multi-model consensus cognition not only enhances the reliability of AI but also promotes a fair decision-making process. In a research report released by Messari last month, it was mentioned that Mira successfully optimized the reliability of AI outputs through a distributed model consensus mechanism, with its verification layer improving the accuracy of AI facts in financial, educational, and other scenarios from 70% to 96%. In my view, the issues Mira aims to address are grand; it attempts to solve AI hallucinations and biases to broaden the use cases of AI. The approach is also innovative, using blockchain's decentralized distributed nodes and incentive mechanisms to provide solutions for AI. Tackling such a grand issue will undoubtedly be challenging, but it also brings more opportunities for value capture. The current market valuation for TGE is around 500 million, which I believe is significantly underestimated. Mira's potential goes far beyond this, and it is worth our long-term tracking and attention. If you also share the same optimism about Mira's future potential, I previously detailed five ways to participate in contributing to Mira to gain potential future returns. I welcome all friends to interact with me and let's Gmira together! Please visit: #Mira #gmira @MiraNetworkCN"