Mira Network (MIRA)

$0.1520  -3.61%  24H

Индекс социальных настроений (SSI)

Рейтинг пульса рынка (MPR)

Посты из X

  • Fuchaweb3 Founder Educator C
     14.35K  @fuchaweb3

    Missed Mira Map at 22k in pumpfun Now just seeing it at 231k 🥲🥲🥲

     11  0  203
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    Тренд MIRA после выпуска
     Медвежий
    MIRA has risen from 22k to 231k, missed buying opportunity
  • belk.btc 🟧 FA_Analyst OnChain_Analyst B
     1.85K  @belk3_95

    this is the kinda alpha that flips how you think about agent risk fired same prompt at gpt‑4o mini / llama 3.1 / deepseek‑r1 and watched klok crystallize consensus on‑chain in sub‑second wild to see proof before any DeFi exec mira actually built the verification layer we all shouted for: decentralized multi‑LLM agg, provable consensus (monadBFT vibes), and proof→action hooks that stop blind trust been testing trustless turbo is real 🙌 $MIRA @miranetwork onward

    0zGeaka.Base D
     337  @ozgeakn95

    This is wild firing the same query at GPT-4o mini, Llama 3.1, DeepSeek-R1 and watching on-chain consensus crystallize in real time via Klok On-chain proof before any DeFi execution flips the script on agent risk, no more blind trust in black-box outputs. Mira's nailing that verification layer we've all been chasing in this AI wild west A few things that make it stand out: 1. Multi-LLM aggregation that's actually decentralized, not just lip service 2. Sub-second consensus without sacrificing security feels provable, like MonadBFT but for claims 3. Ties straight into agent actions, where proof comes before action isn't hype, it's protocol Huge for scaling verifiable AI in DeFi. Been testing it myself, and damn, the transparency hits different $MIRA @miranetwork Onward

     16  6  129
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    Тренд MIRA после выпуска
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    MIRA achieves on-chain multi-LLM decentralized consensus, enhancing DeFi credibility
  • belk.btc 🟧 FA_Analyst OnChain_Analyst B
     1.85K  @belk3_95

    Gm spent the morning poking around @Mira_Network and it actually feels different. I fed a prompt, watched the reply split into discrete claims, then watched independent nodes (different models) verify each claim and produce a consensus proof felt like watching AI write with receipts As a builder I liked that every verifier stakes $MIRA, gets slashed for bad ops, and leaves a replayable trail you can pull into logs. Not vaporware vibes this is audit‑ready outputs, useful for finance/health workflows where mistakes cost real money If you care about scalable, trustworthy #AI on #Web3, go test the proofs on mainnet who else is running checks today?

     52  18  367
    Оригинал >
    Тренд MIRA после выпуска
     Чрезвычайно бычий
    Mira Network's AI on Web3 technology is innovative and auditable, with practical application value.
  • Sakata Gintoki (Demonic Arc) Researcher FA_Analyst B
     2.17K  @SakataYasha
     0  0  0
    Оригинал >
    Тренд MIRA после выпуска
     Чрезвычайно бычий
    The author is bullish on MIRA, believing its AI verification technology and multi‑domain applications keep its price firm.
  • gt🔮🌊 Influencer Media B
     3.15K  @gtofweb3
    Doonbo.edge🦭MemeMax⚡️ D
     7.96K  @Doonbo_artist

    [Doonbo Circle] MIRA project one-point lesson 🙃 @miranetwork Mira is still maintaining its ranking, while other projects... 🥲 As a Mira expert, I easily summarized the necessity of Mira~ AI hallucination (false information generation) real cases -Fake case generation: AI creates non-existent US legal cases as if they were real, causing issues in court. -Fake paper/author generation: cases where non-existent papers are generated and called "Nature paper". How does the MIRA Network solve this? -MIRA does not trust a single AI; it combines multiple models, human validators, and an on-chain consensus structure to filter hallucinations. Core mechanisms 1. Compare answers from multiple AIs/agents → remove outliers 2. Validators assess factuality → record on-chain 3. Consensus based on Wisdom of the Crowds (collective intelligence) increases trustworthiness MIRA builds a Trust Layer that filters out hallucinations by not trusting a single AI answer but using collective consensus. Isn't it super easy? 😀👍

     51  45  1.45K
    Оригинал >
    Тренд MIRA после выпуска
     Бычий
    The MIRA project uses multiple AIs and human verification to effectively solve AI hallucination issues.
  • gt🔮🌊 Influencer Media B
     3.15K  @gtofweb3

    .... @miranetwork aims to create a trust layer for every Ai outputs So far they have been doing a great job by combining different models, verifiers to verify Ai outputs gMira

    Doonbo.edge🦭MemeMax⚡️ D
     7.96K  @Doonbo_artist

    [Doonbo Circle] MIRA project one-point lesson 🙃 @miranetwork Mira is still maintaining its ranking, while other projects... 🥲 As a Mira expert, I easily summarized the necessity of Mira~ AI hallucination (false information generation) real cases -Fake case generation: AI creates non-existent US legal cases as if they were real, causing issues in court. -Fake paper/author generation: cases where non-existent papers are generated and called "Nature paper". How does the MIRA Network solve this? -MIRA does not trust a single AI; it combines multiple models, human validators, and an on-chain consensus structure to filter hallucinations. Core mechanisms 1. Compare answers from multiple AIs/agents → remove outliers 2. Validators assess factuality → record on-chain 3. Consensus based on Wisdom of the Crowds (collective intelligence) increases trustworthiness MIRA builds a Trust Layer that filters out hallucinations by not trusting a single AI answer but using collective consensus. Isn't it super easy? 😀👍

     2  2  44
    Оригинал >
    Тренд MIRA после выпуска
     Чрезвычайно бычий
    MIRA solves AI hallucination issues through multi-model and consensus mechanisms.
  • Jayne🧘‍♀️ Influencer Community_Lead C
     32.11K  @0xjayn3

    So @miranetwork allocated 1 Million $MIRA for season 2 for yappers.

     28  15  1.08K
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    Тренд MIRA после выпуска
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    MIRA receives 1 million allocation for Season 2, outlook looks positive
  • Sakata Gintoki (Demonic Arc) Researcher FA_Analyst B
     2.17K  @SakataYasha
     0  0  0
    Оригинал >
    Тренд MIRA после выпуска
     Чрезвычайно бычий
    The author is confident in MIRA's value, listing AI verification technology and expanded applications, rebutting sell recommendations.
  • Nick Research Derivatives_Expert Researcher S
     10.01K  @Nick_Researcher

    ➥ @miranetwork = the trust layer for robot-driven labor I’ve been thinking a lot about Musk’s vision of humanoid robots replacing human labor Musk talks about Optimus scaling to billions of units, doing surgery-level tasks, fixing labor shortages, and pushing society toward universal high income But none of that works if the #AI inside those robots still hallucinates, still guesses, still makes unpredictable decisions $MIRA basically turns AI into something you can verify - it breaks AI outputs into atomic claims - cross-checks them across independent models and verifier nodes - only approves what’s provably true Node operators stake MIRA, earn for honesty, and get slashed for errors → crypto incentives forcing truth I genuinely believe if we want Optimus-level automation without the trauma and disruption Musk warns about, we need AI that can check itself in real time Mira turns AI into autonomous intelligence by making every output verifiable, even using ZKPs to keep it fast @miranetwork builds the trust layer that robots will depend on

     81  37  4.53K
    Оригинал >
    Тренд MIRA после выпуска
     Чрезвычайно бычий
    MIRA aims to provide a verifiable AI trust layer for robot-driven labor, addressing the AI hallucination problem.
  • ASHISH Influencer Trader B
     3.69K  @ashishknows

    Want to buy $MIRA at these lvl , liquidity is so died up on DEX , that there is 12% slippage swap impact showing please let me buy some $MIRA at these lvls 🤣🤣 https://t.co/zPHjKpfBnB

    Mira D
     270.61K  @miranetwork

    Happy Thanksgiving, Mira fam 🦃 https://t.co/3aeynEQhxD

     3  1  154
    Оригинал >
    Тренд MIRA после выпуска
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    The author wants to buy MIRA at its current low price, but poor DEX liquidity results in high slippage.