HapChap

@stone_gettings Stone, here's a helpful link: rentberry.com/kr/apartments/…

Should I just move out to Seoul already??

@MC1010Smart @IPALAU1 @miranetwork @karansirdesai @klok_app @iamgordonl @Therealjoh42058 China: Discord! (discord.com/invite/mira-ne…) Korea: t.me/mira_koreacomm…

@IPALAU1 @miranetwork @karansirdesai @hapchap88 @klok_app @iamgordonl @Therealjoh42058 The takeover is inevitable, stop playing chad and get to work 🫵🏾🫵🏾🫵🏾🫵🏾. How do I join the Chinese and Korean community ??? 🙂‍↕️🙂‍↕️

Mira Network Selected in CB Insights AI Top 100 @miranetwork has been named one of the Top 100 Most Promising AI Startups of 2025 by CB Insights 1⃣ About CB Insights - A global research and market intelligence platform - Used by 70% of Fortune 500 companies 2⃣ Why Mira Was Selected - Decentralized AI Verification Technology: Solving the flaws of centralized AI systems - Crypto + AI Integration: Designing an incentive-based ecosystem Mira appears on the list alongside major Web2 AI players like Figure and LangChain. This recognition suggests that Mira’s crypto-native approach to building trustworthy AI is gaining validation even within the Web2 AI community. Mira has mostly been covered on our Telegram channel so far, but going forward, I’ll be sharing a lot more about it on X as well.

This message is verified by Mira 👇

@TheEwansEffect Sure thing!

@hapchap88 Hey bro, let's connect

@hapchap88 @shonik @miranetwork Okay I Mira will Mira try Mira that Mira strategy Mira from Mira now Mira on

@shonik @miranetwork Try something like hey mira friends mira I mira had mira a mira great mira meal mira last mira night. #killtwobirdswithonestone

Sorry to my non-Crypto friends who follow me here Im gonna be a little insufferable about @miranetwork going forward However, I gonna try and talk more about what we're building with Mira and how its relevant for everyone, cause it honestly is

@layh7931 @crypt_CYBORG @miranetwork @karansirdesai Essentially we are saying, one model can hallucinate some of the time but the probability of all models hallucinating the wrong answer at the same time is very low.

@crypt_CYBORG @miranetwork @hapchap88 @karansirdesai You can't rely on a single AI model’s output. Mira Network builds a consensus-based verification layer where multiple nodes validate AI results. Try the Voyager testnet to see how distributed AI verification works.

What if we could verify AI outputs like we verify blockchain transactions? Meet @miranetwork —> a decentralized protocol that turns LLM outputs into facts you can trust. Mira is a blockchain protocol for trustless AI output verification. In practice, multiple diverse models check each claim of the individual LLM and vote on its truth, only a supermajority vote leads to approval. It breaks each model’s answer into factual claims and runs them through a distributed consensus of independent AI “verifier” nodes. Unlike Trad LLM's like GTP 3.0, there is no single oracle model, truth is determined collectively, with every verified output producing a cryptographic certificate of which claims were checked, which models voted, and how. This on-chain certificate makes every verification transparent and auditable. >>> Core Features —> Multi-Modal Consensus: Mira transforms AI output into verifiable claims that are assigned to many verifier nodes. Each node runs its own AI model (often with different architecture or data), and they vote on each claim (true/false) in a consensus round. —> Proof-of-Verification (Hybrid Consensus): Instead of traditional mining puzzles, Mira uses a hybrid PoW/PoS mechanism. Verifier nodes stake tokens and then solve structured inference tasks (multiple-choice verifications). Random guessing is penalized by stake-slashing, which economically forces nodes to perform honest inference. Consensus is reached only when models inferences align, and malicious or lazy operators are disincentivized. —> Privacy & Cryptography: Inputs are binarized (split into claim sub-statements) so that no single model ever sees the full original content. Claims are shuffled among nodes, preserving data privacy during verification. Once consensus is reached, only a succinct cryptographic certificate (proof) is recorded on-chain. This certificate contains no user data, just the hashes of verified claims, the participating models, and their votes. —> Infrastructure Integration (Mira SDK/API): Mira is designed as middleware, not a consumer app. Its SDK/APIs let developers embed verification directly into AI pipelines (chatbots, dapps, edtech, etc.) In other words, Mira acts like a decentralized “audit layer” for LLMs: when an AI generates an answer, Mira checks it before it reaches the user. Verified answers come with proofs, enabling platforms or regulators to trust AI-driven decisions. In practice, @miranetwork may serve as a bridge between Web3 and AI: a protocol that guarantees the factual correctness of LLM responses. This is a bold bet on crypto-economic verification at scale. Mira could define a new category of blockchain infrastructure not just for finance or data, but for certifying truth in AI. #AI #LLM

I’m very proud to see the Korea community dominating the @miranetwork leaderboard - shows our long term commitment to the country 🇰🇷🇰🇷🇰🇷

@shlokafc Have you tried yap yap yap yap yap?

Currently ranked 29, which clearly means I haven’t been yapping about mira nearly enough. Time to become absolutely insufferable about it.

Cometh the moment, cometh the Yapper. Mira x @KaitoAI yapper leaderboard is now LIVE with 0.5% of our future total supply up for grabs.

Okay apparently we also launched on something called @KaitoAI and now my timeline is just full of yaps yaps yaps. what's stopping you anon?

@miranetwork @KaitoAI That is a banger video!

Proud to announce that the Mira team is launching an internal kaizen process tomorrow! Not sure why it's such a big deal to y'all but appreciate the good vibes!

@chamath you've been raising the warning bells on AI hallucinations for a long time now, and we appreciate it. Would love to share with you the work we're doing at @miranetwork to programmatically address AI hallucinations at scale, unlocking autonomous intelligence.

🔍 Mira(@miranetwork ) enhances the reliability of AI outputs through several innovative strategies and technologies 1️⃣Consensus Mechanism · Multi-AI Consensus: Mira Network uses a strong consensus mechanism across multiple AI models. · Pre-Output Verification: AI-generated outputs are reviewed and approved by several models before reaching users. · Improved Accuracy: This collective validation helps prevent hallucinations and ensures more reliable results. 2️⃣ Reduction of Errors · Accuracy Improvement: Mira’s infrastructure has increased AI accuracy from ~70% to up to 97% in certain use cases. · Performance Boost: These improvements significantly enhance overall AI performance. · Trust Factor: High accuracy helps address skepticism caused by frequent errors in traditional AI models. 3️⃣Blockchain Integration: · On-Chain Consensus: Real-time verification is achieved through decentralized blockchain-based consensus. · Secure & Trustworthy: This structure enables secure transactions and increases trust in AI outputs. · Auditability: Each node's result is verified and recorded, creating an auditable trail that reinforces reliability. 4️⃣ Addressing Biases: · Bias Reduction: Mira addresses bias issues in AI systems. · Decentralized Verification: A decentralized network helps minimize bias and promote fairness. · Fair AI Outputs: Ensures equitable results, especially for diverse demographic applications.4o 📝 In conclusion Mira is positioned at the forefront of ensuring AI reliability by implementing a trust layer that effectively mitigates errors and biases, thereby enhancing the operational capabilities of AI across different sectors.

The word is out

Super proud of our team's relentless focus on solving AI's reliability challenge. This recognition from @CBinsights validates our research and engineering to build verification infra that works at scale. The journey continues!

@stone_gettings @Gaianet_AI @moonsonglabs_ You must really love your job to be fitting that frame in in a tube every week ❤️🚀🙏

Another week, another flight out to Toronto Really hope the weather app is hallucinating and it doesn’t rain all week… Send me a DM if you’re a BD in the space or if you want to attend an exclusive dinner in NYC next week with our friends @Gaianet_AI and @moonsonglabs_