HapChap

Co-founding @Mira_Network | Ex @staderlabs @FreeWheel | Building Open Source AI & Web3

[HapChap @hapchap88]

@stone_gettings Stone, here's a helpful link: https://t.co/cOuqYpt2gr

[HapChap @hapchap88]

@MC1010Smart @IPALAU1 @miranetwork @karansirdesai @klok_app @iamgordonl @Therealjoh42058 China: Discord! (https://t.co/7UJ8Ctrdfc)
Korea: https://t.co/VfUEqGyNhi

[HapChap @hapchap88]

This message is verified by Mira 👇

[Ryoo @RyoXyfs]

Mindshare doesn’t lie.

Mira just clocked +723.95% in a single day.
From whispers to waves,now it’s a signal you can’t ignore.

Top 10 token by attention
3.17% of all crypto mindshare

@miranetwork isn’t just rising,
it’s rewriting the narrative.

Big thanks to @karansirdesai and @hapchap88 your vision is turning signal into movement.

Join the current. Amplify the scrolls: https://t.co/TerYPKKQJz

gMira All.

[HapChap @hapchap88]

@TheEwansEffect Sure thing!

[Tarara @Tarara873865]

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

[HapChap @hapchap88]

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

#killtwobirdswithonestone

[HapChap @hapchap88]

@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.

[Karan @karansirdesai]

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

[HapChap @hapchap88]

@shlokafc Have you tried yap yap yap yap yap?

[Mira @miranetwork]

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.

[HapChap @hapchap88]

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?

[Mira @miranetwork]

No signup needed. Yap, yap, and yap about Mira, and leave the rest to us.

Rise through the ranks and get rewarded with a slice of 0.5% across two seasons.

Find yourself on the leaderboard
👉 https://t.co/FF6S4v5dp3

[HapChap @hapchap88]

@miranetwork @KaitoAI That is a banger video!

[HapChap @hapchap88]

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!

[Mira @miranetwork]

GMira! Where are you seeing this from?

[HapChap @hapchap88]

@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.

[Wecryptotogether (Theo/acc) @Edward__Park]

🔍 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.

[HapChap @hapchap88]

The word is out

[shlok @shlokafc]

our community calls are no joke.

[HapChap @hapchap88]

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!

[Mira @miranetwork]

We're honored to announce that we have been selected for @CBinsights' 2025 AI 100 list!

The future of AI is verified.

[HapChap @hapchap88]

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