Recently, I chatted with a few friends involved in large models and found that everyone's understanding of 'AI + blockchain' is still stuck at the stage of issuing tokens and creating distributed computing power. To be honest, those AI plugins that are forcefully integrated later are simply not sufficient when faced with real high-frequency inference and automated settlement. In contrast, the recently studied Vanar Chain surprised me with its kind of 'native intelligence'. It does not build illegal structures on old and broken L1, but directly incorporates memory, inference, and automation into the validator nodes.
Especially that myNeutron module, which solves the most troublesome 'fragmentation' issue for AI agents. You can input 25MB of context, and it can compress it into a 50KB seed to store on-chain, which is much more clever than simply mounting on IPFS. Coupled with the native inference engine provided by Kayon, smart contracts are no longer rigid if-else, but can understand human logic. Compared to those competitors still focusing on TPS, Vanar has already begun to focus on the 'brain'. This kind of dimensionality reduction attack may be where the long-term value moat of $VANRY lies. Don't just fixate on the small fluctuations; pay more attention to whether the product can actually run. The collaboration between Vanar and Worldpay has actually been made clear; PayFi is the ultimate piece of the puzzle for the large-scale implementation of AI agents. If an AI cannot comply with global settlement regulations, it will always be just a chatbot. Vanar's recent cross-chain to Base is also a brilliant move, directly extending its technical reach into the most active ecosystem
