Don't be fooled by computing power leasing anymore, @Vanarchain this native 'brain' architecture is a bit interesting. This round of AI competition is heating up, but the more I look, the more I feel something is wrong. The screen is full of DePIN talking about computing power leasing, which is just a decentralized AWS landlord, right? This simple physical stacking is a far cry from truly native Web3 intelligence. Recently, I went to review Vanar's white paper and GitHub, initially with a critical mindset, and found that these people have quite unique ideas. They didn't compete on TPS or computing power distribution, but focused on a pain point that many public chains haven't figured out: the cost of 'memory' and 'reasoning' for on-chain AI. We in technology know that Ethereum, as a state machine, is essentially forgetful. If you want AI Agents to run on-chain, simply uploading the model is useless; where will the massive contextual data generated during the reasoning process be stored? Storing it on Arweave is too slow, and storing it on-chain incurs exorbitant gas fees. The Neutron architecture developed by Vanar amused me; isn't this just installing a hippocampus on the blockchain? By using TensorRT for reasoning optimization, complex semantic data is compressed into on-chain readable Seeds, which means Agents are no longer 'fools' who compute from scratch with every interaction, but possess low-cost continuous memory capabilities. This leaves projects still relying on cross-chain bridges to connect to GPT-4 far behind; the former allows the blockchain to learn to think, while the latter is at best just making a long-distance call to AI. To be honest, the ecosystem experience is still quite early; after going around DApps, it feels a bit 'desolate', and the interface interactions still have bugs. Yesterday, that swap was just spinning around for a long time, but this underlying logical closed loop makes me feel very solid. Compared to those projects that look flashy on PPT but essentially just sell nodes, Vanar is clearly laying the most challenging 'computing infrastructure'. If DeFi can really evolve into an AI-driven dynamic risk control model in the future, or if on-chain game NPCs can have self-awareness, then the foundation must be on chains that can natively handle high-concurrency reasoning, rather than those outdated ones that compromise performance to accommodate EVM. For those of us doing research, we shouldn't just focus on short-term K-line fluctuations; we need to see whether the code base is stacking blocks or building engines. #vanar $VANRY