AI Concept Coin Disperse: Vanar writes the "Thinking Chain" as a 5-layer brain, $VANRY is the true AI L1

Ancestral conclusion: @Vanarchain is really not the kind of conceptual chain that casually attaches an "AI module" to a white paper, but a complete 5-layer stack designed from the ground up according to AI workload — L1 settlement layer, semantic memory Neutron, reasoning engine Kayon, application layer Axon, automation layer Flows, clearly stated on the official website: The Chain That Thinks.

Most projects claiming to be "AI public chains" are essentially ordinary EVMs, with a reasoning service hanging on top, treated as an add-on. Vanar's approach is completely opposite: any on-chain application can naturally access memory, reasoning, and workflows without needing to integrate a bunch of external APIs, which is evident from the repeated emphasis on the official website and X about the "AI-native infrastructure stack."

Personally, I care most about these two layers, Neutron and Kayon. Neutron compresses files and dialogues into on-chain semantic Seeds, myNeutron even achieves "no loss of memory when changing models," with the official examples being ChatGPT, Claude, and Gemini; Kayon performs reasoning on top of these Seeds and chain data, turning "why this decision was made this way" into an auditable process, rather than a black box answer. Once Axon and Flows are widely deployed, AI entities can not only chat but can also autonomously complete payment, settlement, and risk control actions on Vanar.

From the perspective of on-chain players, when I now look at Vanar ecosystem projects, I no longer just ask the old questions like "Is it EVM? How fast is the TPS?" but will casually add a couple of questions: Which layer of the AI stack does it actually use? Is Neutron really used for memory, and Kayon for reasoning? Will it bring sustained stack usage and settlement demand to $VANRY ? If the answer is affirmative, then for me, #Vanar and $VANRY are not just ordinary new public chains, but a complete set of "thinking infrastructure" that is slowly being filled.