Recently, the activity of @Mira_Network has increased again. Although there are no new major announcements, the project party's engagement in the community has significantly improved. The daily "Gmira ☀️" greetings, interactions with users, and the repeatedly mentioned phrase "We’re just getting started" all make one feel that they are indeed moving forward steadily.
From the data, after $MIRA went live on its own mainnet, the price retraced from a high point to around $0.4. In the short term, it seems to be cooling down, but the trading volume remains strong. For a project that has just been on the mainnet for less than half a month, this trend is actually very healthy: digesting heat, community consolidation, and chip turnover.
More importantly, Mira's fundamentals are continuously strengthening. The Mira Foundation, established in August, has already begun operations, and the $10 million Builder Fund is supporting ecosystem partners like @KaitoAI, @myshell_ai, and @OpenledgerHQ. Currently, the Mira network handles over 4 million inferences weekly, with a verification accuracy rate of 96%. This is not "storytelling"; it's real data.
In addition, their integration with GaiaNet and other DePIN projects has allowed Mira's computing layer and verification layer to start closing the loop. The AI hallucination problem still exists, but Mira is gradually reducing its probability through on-chain verification—currently, the reduction rate of hallucinations and biases is said to be 90%.
Of course, the short-term market volatility is still present, and the digestion period after the mainnet launch always takes time. However, from a long-term perspective, Mira has already transitioned from the "AI concept" to "AI infrastructure." It is not a product, but rather building a layer of trust for the entire AI industry.
I have to say, at this stage, Mira looks more like a steady builder. Prices may fluctuate, but the narrative remains intact. When the next wave of market sentiment warms up, projects like Mira that can "run, validate, and collaborate" are often the first to be re-identified. @Mira_Network @KaitoAI
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Recently, the activity of @Mira_Network has increased again. Although there are no new major announcements, the project party's engagement in the community has significantly improved. The daily "Gmira ☀️" greetings, interactions with users, and the repeatedly mentioned phrase "We’re just getting started" all make one feel that they are indeed moving forward steadily.
From the data, after $MIRA went live on its own mainnet, the price retraced from a high point to around $0.4. In the short term, it seems to be cooling down, but the trading volume remains strong. For a project that has just been on the mainnet for less than half a month, this trend is actually very healthy: digesting heat, community consolidation, and chip turnover.
More importantly, Mira's fundamentals are continuously strengthening. The Mira Foundation, established in August, has already begun operations, and the $10 million Builder Fund is supporting ecosystem partners like @KaitoAI, @myshell_ai, and @OpenledgerHQ. Currently, the Mira network handles over 4 million inferences weekly, with a verification accuracy rate of 96%. This is not "storytelling"; it's real data.
In addition, their integration with GaiaNet and other DePIN projects has allowed Mira's computing layer and verification layer to start closing the loop. The AI hallucination problem still exists, but Mira is gradually reducing its probability through on-chain verification—currently, the reduction rate of hallucinations and biases is said to be 90%.
Of course, the short-term market volatility is still present, and the digestion period after the mainnet launch always takes time. However, from a long-term perspective, Mira has already transitioned from the "AI concept" to "AI infrastructure." It is not a product, but rather building a layer of trust for the entire AI industry.
I have to say, at this stage, Mira looks more like a steady builder. Prices may fluctuate, but the narrative remains intact. When the next wave of market sentiment warms up, projects like Mira that can "run, validate, and collaborate" are often the first to be re-identified.
@Mira_Network @KaitoAI