Mirra is a decentralized AI project where the Web3 community directly contributes, curates, and verifies data to train artificial intelligence models.
Unlike traditional AIs controlled by a central organization, Mirra democratizes the entire training process, ensuring transparency, continuous updates, and a more accurate reflection of collective knowledge.
MAIN CONTENT
Mirra builds decentralized AI based on data contributed and verified by the Web3 community.
Users are both Creators, Scouts, Validators, and are rewarded with NLPs for quality contributions.
Mirra's AI model is transparent, continuously updated, minimizes bias, and reflects collective knowledge.
What is Mirra?
Mirra is a decentralized AI platform where the Web3 community collaboratively trains AI models through open data and decentralized verification.
Unlike centralized AI, Mirra leverages community involvement to build a fairer system.
According to a report from Gartner 2024, decentralized AI models help reduce the risk of data bias by up to 35% compared to traditional AI.
What are the highlights of Mirra?
Mirra focuses on a community mechanism where users both create content, curate, and receive rewards in NLPs.
This helps users truly become a part of the AI training process, not just consumers.
Mirra also allows the community to guide which content will be included in training, creating a clear democratization in the AI field.
"Decentralized AI will be an important advancement to ensure transparency and multi-dimensional representation of data."
Sam Altman, CEO of OpenAI, at the AI Decentralization Summit 2023
What is the difference between Mirra and traditional AI?
Mirra stands out with its decentralization, transparent rewards, real-time updates, and community curation mechanism.
While traditional AIs are trained on closed data controlled by a few organizations, Mirra empowers the Web3 community to participate from start to finish.
This helps reduce the risk of bias, centralized censorship, and enhances data reliability.
How does Mirra operate?
Mirra's operations are based on Creators, Scouts, Validators, the NLP system, and Mirra AI.
The process starts with the Creator creating content on X, the Scout finding and sending it back, the Validator verifying it, and then Mirra AI is trained with the approved data. Contributors will receive NLPs, creating a sustainable development motivation.
Who are the Creators in Mirra?
Creators are those who produce valuable content that is shared publicly on platform X.
This content can be analysis, in-depth perspectives, or useful knowledge. The role of the Creator is very important because this is the raw data source for training AI.
According to the Messari 2024 report, successful Web3 platforms are based on the proactivity of content creators.
What role does Scout play in Mirra?
Scout is the one who searches for and sends valuable content to Mirra by tagging @MirraTerminal.
They act as a bridge between Creators and Mirra AI, helping to select quality data. Thanks to Scouts, the system avoids data overload and increases training efficiency.
What does a Validator do in Mirra?
Validators are the ones who curate and verify the quality of the content proposed by Scouts.
They assess the reliability, accuracy, and relevance of the articles before including them in AI training. This helps the AI model to be trained with high-quality data, reducing bias.
"The community verification process helps decentralized AI maintain accuracy and significantly reduce bias risk."
Vitalik Buterin, co-founder of Ethereum, AMA on Reddit 2023
What are NLPs in Mirra?
NLPs (Neuro-Learning Points) are reward points reflecting the level of influence and quality of contributions.
Users receive NLPs when the content is approved, and this is accumulated in their personal profiles. NLPs serve as incentives and build a reputation ranking within the community.
How does Mirra operate?
The operation mechanism consists of four steps: data contribution, curation, rewarding NLPs, and training AI.
This process ensures transparency, continuous updates, and accurately reflects collective knowledge. This is a strength of Mirra compared to centralized AI, which is less updated with real-time data.
Traditional AI criteria Mirra AI Closed Data, controlled by organizations Open, community contributions Centralized Censorship Decentralized Rewards No Transparent NLPs Updates Slow, periodic Real-time
What is the development roadmap of Mirra?
The development roadmap of Mirra has not yet been publicly detailed, but it promises to update soon.
In the rapidly growing context of AI and Web3, a clear roadmap will help Mirra position its strategy. Many analysts predict that Mirra will focus on expanding its community, developing tokenomics, and integrating across platforms.
Who is on the development team of Mirra?
Information about the core team has not yet been disclosed.
However, with the decentralized nature, the community will play a leading role. In the Web3 trend, successful AI projects often involve a combination of a core technical team and a broad development community.
Who are the investors of Mirra?
Information about investors has not been disclosed.
However, decentralized AI projects often attract attention from blockchain and AI investment funds. For example, a16z and Sequoia have repeatedly invested in similar projects like Fetch.AI and Ocean Protocol.
What is special about Mirra's tokenomics?
Currently, there is no official information about Mirra's tokenomics.
Based on the NLP reward mechanism, it is likely that Mirra's tokenomics will be closely linked to encouraging the community to contribute data and verify. This will be a key factor in expanding and maintaining the ecosystem.
Where is Mirra traded?
Currently, there has been no official exchange announcement.
When tokenomics is implemented, Mirra is expected to be listed on major CEX or popular DEX exchanges. This will help increase liquidity and expand the reach of the global Web3 community.
What is the official information channel of Mirra?
Website: https://mirraai.xyz/
Twitter: https://x.com/MirraTerminal
"Mirra embodies the true spirit of Web3: transparency, decentralization, and community-led."
Messari Research, Web3 AI Landscape Report 2024
Frequently Asked Questions
Is Mirra a centralized AI project?
No, Mirra is completely decentralized, based on data contributed and verified by the Web3 community.
Can NLPs in Mirra be traded?
Currently, NLPs are an internal reward point system, and there is no information about trading capabilities on exchanges.
Where does Mirra get data to train AI?
Mirra uses public data from platform X, which is then curated and verified by the community before training.
Has the development roadmap of Mirra been announced?
No, but the project is expected to share details about the roadmap soon.
Does Mirra collaborate with any organizations?
Currently, there is no official announcement, but it is likely to happen during the community expansion and development process.
Source: https://tintucbitcoin.com/mirra-la-gi/
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