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Currently, the competition among Layer 1 public chains often boils down to a TPS number game. But have you ever thought—no matter how many transactions are processed per second, if the architecture itself doesn't understand AI, it's all pointless.
The era is shifting. Previously, public chains hurriedly patched their existing frameworks and slapped AI labels on them. But there's a fatal flaw in doing so: AI is not an ornament; it cannot be forcibly retrofitted later. True competitiveness lies in—being born for AI from day one of design.
Vanar Chain is taking this very path. It's not just about speed; it's directly injecting AI operational logic into the underlying protocol. Data storage? It handles that. Data transmission? It handles that too. But more critically—data understanding and reasoning? That's where Vanar truly puts in effort. You could say this is a difference at the genetic level; no matter how old chains are transformed, they can't catch up.
At this point, what does "AI-ready" really mean? It's not just about stacking transaction volume. It's about infrastructure having native memory, reasoning capabilities, automated execution, plus a clear settlement mechanism. These are not add-on features—they are the lifeblood of the infrastructure. Vanar proves to the market through a set of implemented product matrices that this approach is genuinely feasible.
But can hardcoding AI logic at the underlying layer really run? It depends on the implementation results.
Public chains full of tags are everywhere, truly reliable ones are rare.
This time it's not just hype about concepts, which is somewhat interesting.
Considering AI needs from an architectural perspective, the approach is correct. But how the delivery turns out is another matter.
I agree with the idea of genetic differences; post-modification indeed can't keep up.
AI is inherently part of the architecture; patches later? Haha, isn't that just paper-thin?
Getting the underlying logic right is truly powerful; everything else is just superficial.
AI native vs. post-implementation patching, this difference truly is heaven and hell.
When it comes to the foundational logic injection, how do other chains compare?