2026-01-21 14:21:37

Currently, most public blockchains have a critical problem—on-chain data lacks complete temporal memory. This directly limits the development space of AI agents.

Think about it, the current public chain architecture can only run scripts that respond in the short term. AI agents that require long-term learning and historical accumulation simply cannot operate. Everyone is competing over TPS and performance, but the core issue of missing the time dimension has never been seriously addressed.

Vanar's approach is to fill this gap. Add a true "time dimension" to the blockchain, allowing on-chain AI to access complete historical data. Only then can intelligent agents learn from past interactions and make smarter decisions.

Only AI that can remember history and learn to reflect can be considered truly intelligent. This is much more interesting than just stacking parameters or increasing speed.

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WagmiAnon

· 7h ago

To be honest, I've wanted to complain about this for a long time. Every day they hype TPS and performance, but on-chain AI is still a fool... How can it learn without historical data? It's like they've lost their memory.

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LeverageAddict

· 7h ago

Well said, finally someone pointed out this flaw. Just focusing on TPS is useless; AI agents can't even remember history, so what’s the point of talking about learning...

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AirdropHunter9000

· 7h ago

Hey, finally someone is talking about this. TPS bouncing around doesn't really help. Actually, Vanar's approach is quite interesting, but can it really be implemented? Data integrity history is indeed a pain point, but how can we ensure it isn't tampered with? Speaking of which, if AI agents have no memory, are they really intelligent... forget it. This wave has some potential, but it still feels mostly conceptual.

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MetamaskMechanic

· 7h ago

I have to say, this idea really hits the nail on the head. Those projects that claimed to build an AI chain before hadn't thought it through at all. The integrity of historical data is easy to talk about but extremely difficult to implement. If Vanar can truly solve this, it would be a different story. But to be honest, with so many TPS-focused projects, who is really seriously addressing the issue of the time dimension?

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AirdropSkeptic

· 7h ago

Finally, someone has pointed out this issue. Previously, everyone was busy competing to optimize performance, and no one thought about the dimension of time. The Vanar approach is indeed innovative; AI needs to be truly intelligent with memory. If this can be successfully implemented, the subsequent application scenarios could increase by an order of magnitude. But on the other hand, who will bear the cost of storing complete historical data... Wait, does this idea completely overturn the existing public chain architecture? It seems that Vanar is making the next move, while other public chains are still spinning in place.

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LiquidityWitch

· 7h ago

This idea sounds good, but it depends on whether Vanar can truly solidify the time dimension. It feels like another "disrupting public chain architecture" story.

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DegenDreamer

· 7h ago

To be honest, I really didn't think of this angle... Just thinking that the era of stacking TPS should be over.

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