🔶 MAD-X 🟣

How can an audit report receive a score of 0 (zero)? Especially without any intentional tampering. It is such a standard CA that if it belonged to any other project, it would be labeled a total scam and showcased as the worst possible example. We will be sharing the full story soon. And this is just a CA review. Not even a project. The project is in worse shape. github.com/mefai-dev/secu…

@Build4ai We will soon be sharing the project audit as fully open source, purely as an example, because it's developing incredibly well. As you can see, there are serious false claims even among those who directly develop LLMs or claim to build AI. In reality, we would still accept it if they simply said they used tools like Gemini, ChatGPT, or DeepSeek and added their own features. But instead, they talk about artificial intelligence neurons and neural networks when in fact, none of that actually exists in their system.That’s why we will highlight and share the rare projects where what they claim truly matches what they actually build.

@MetaFinancialAI @PUELTA7 @xai x-algorithm is the proprietary layer sits between the LLMs and does the actual reasoning

WHICH IS NEXT 10000x #GEM ?

@Vanarchain #Vanar Chain ($VANRY) | Multiple Misleading Claims Another breach of trust and purely a marketing project. Mefai will continue to protect the community. Report Date: 2026.03.25 Project: Vanar Chain (formerly Terra Virtua Kolect / TVK) Chain ID: 2040 RPC Endpoint: rpc.vanarchain.com Explorer: explorer.vanarchain.com Website: vanarchain.com Client Software: Geth/v1.1.6 stable dd9444aa/linux amd64/go1.20.14 Classification: Public Overall Assessment: HIGH RISK - Multiple Misleading Claims, Near Zero Chain Activity All on chain data was obtained via direct JSON RPC calls to the project's public endpoint. Every finding follows the Evidence Chain format, Finding, Method, Raw Response, Timestamp, and Conclusion. All results can be verified by anyone. We read the code, we look at what the project says, and we introduce the project to our community. So actually, we stay silent and let the project speak for itself. Code is law. Audit Findings, Chain is functionally dead. Block sampling across the entire chain history shows near zero transaction activity. Website statistics are fabricated. The website displays numbers 417 times higher than what their own explorer API returns. The blockchain is a BSC fork. Zero AI Client version Geth/v1.1.6 confirms the BNB Chain codebase, not original technology. This directly contradicts claims of being a "purpose-built" or "AI native" blockchain infrastructure. Even the modest 914 transactions per day figure is largely artificial. AI claims are unverifiable. There is no evidence of on-chain AI inference, semantic transactions, or vector storage. The network is centralized. There are 12 validators in fixed rotation with nearly identical balances (approximately 30,000 to 33,000 VANRY each). Governance mechanisms are unused, containing empty votes or vSigners. With only 7 to 8 total peers and disabled standard consensus query methods, this is a centralized network masquerading as a decentralized blockchain. Development is outsourced to a small Pakistani firm called "BiM." Only 3 people performed 90.7% of the work, with only 17 commits in the last year. Hard fork names confirm the team's location and the GitHub organization is unverified. This is not "revolutionary AI native infrastructure," it is a thinly modified BSC fork maintained by a skeleton crew. There are impossible technical claims. If 47 characters could deterministically encode 25MB of arbitrary data, every file on earth could be stored in a few kilobytes. Furthermore, the term "Quantum Aware Encoding" has no scientific basis on classical computing hardware. $6.55 of USDT on the entire chain. Not $6.55 million / six dollars and fifty five cents. Total stablecoin liquidity: ~$134,667 ($134,660 USDC + $6.55 USDT) In conclusion, there are multiple misleading public claims backed by fabricated statistics on a functionally inactive blockchain with extreme token concentration. Here is the evidence.👇