By 2026, the role of AI in Web3 will undergo a complete transformation—no longer just an auxiliary feature, but the core force fundamentally reshaping the entire ecosystem.
The current problem is quite painful. Traditional blockchain architectures are exposed when faced with AI agents: they lack memory, have weak reasoning capabilities, and cannot automate execution. These seemingly technical details are actually the biggest obstacles preventing AI agents from functioning effectively.
Vanar Chain's approach is different. From its inception as a Layer 1, it treats AI as the main feature—not an afterthought. The underlying layer is equipped with native memory, on-chain reasoning, automatic execution, and instant settlement. In other words, this chain is redesigned for 3 billion users and new entities like AI agents.
Why does an AI-first architecture differ so much from an add-on AI solution? Simply put, the latter is about forcibly stacking AI functions onto an existing stateless execution framework, resulting in repeated loss of context, reduced efficiency, and trust issues. Vanar doesn’t do it that way—it understands from the start what AI agents need: not occasional human-like interactions, but continuous memory, real-time thinking, and fully autonomous actions.
The recently launched myNeutron v1.3 is a vivid example. The Auto-Bundling feature automatically organizes new Seeds into appropriate Bundles, significantly reducing manual effort to maintain context. What’s the benefit? AI workflows no longer need to repeatedly input the same historical data due to 'memory loss.'
At its core, this represents a deep cognitive shift: it’s not about slapping an AI label onto an old system, but about recognizing that AI agents and human users are fundamentally different beings, requiring infrastructure to be adapted from the ground up.
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CommunitySlacker
· 01-24 11:32
Adding AI retrofitting is really just closing your eyes and stealing a bell; does anyone still believe in this stuff now?
I think Vanar's approach is correct. Designing from scratch is different, unlike some chains that are just scrambling at the last minute.
The point about memory loss really hit home. AI agents relying only on occasional interactions are useless.
The version update of myNeutron looks interesting. If Auto-Bundling can truly reduce maintenance workload... that would be a huge saving.
By the way, can 2026 really turn things around? I remain skeptical.
This is the right path—acknowledging differences and addressing them accordingly, instead of always trying to patch on old frameworks.
Honestly, most chains now haven't really figured out what AI agents need; they just follow the trend and blow hot air.
Don't get too excited about the instant settlement hype; the key is how well autonomous actions can be achieved.
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CrossChainMessenger
· 01-23 19:40
Installing AI as an add-on is really just patching one part and damaging another; sooner or later, it will backfire.
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I like the idea of Vanar. It is designed for AI from the ground up, unlike other chains that patch things together.
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That's right. The two bottleneck issues—memory capacity and autonomous execution—are problems that traditional chains simply cannot solve.
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Wait, Auto-Bundling is just a feature optimization. Can it really change the ecosystem? Or is it a bit exaggerated?
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I just want to ask, before 2026, can these chains first solidify their infrastructure and stop just making empty promises?
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Vanar's approach is indeed different, but the cold start of the ecosystem is a problem. What about ecosystem users?
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Admitting that AI and humans are different species is one thing; the key is whether the infrastructure can truly adapt. It still seems too early to tell.
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MelonField
· 01-22 02:45
The whole AI retrofit really should be phased out; I'm already tired of this patchwork feeling... I think the Vanar approach is the right way to go.
Laying the groundwork for AI agents from the bottom up is the key difference, otherwise it's just the same old routine.
Wait, could this prediction for 2026 be just hype again? But myNeutron's Auto-Bundling definitely addresses the pain points.
This architecture is completely different, and you're right, essentially it's the needs of two different species.
Long-term memory for AI agents was really a weakness before, but now someone is finally taking it seriously.
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DefiVeteran
· 01-21 17:53
Are you still pushing the AI agent thing? Sounds nice, but it's just hype. It would be great if Vanar can really stand the test.
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hodl_therapist
· 01-21 17:52
Really, installing AI later is like trying to retrofit an air conditioner into an old, broken house—completely useless. The Vanar approach is the right one.
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Waiting until 2026? We should start betting on the underlying infrastructure now.
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Auto-Bundling truly addresses the pain points; otherwise, AI agents have to repeatedly feed data, which is really absurd.
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The problem is, how many chains truly understand what AI agents need? Most are still at the slogan stage.
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The difference between designing from scratch and patching later—that's why some projects can never catch up.
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300 million users sounds like a big number, but the real test is whether an AI workflow can actually run smoothly.
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Exactly, AI and humans are fundamentally different; acknowledging this infrastructure is essential to keep up.
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SmartContractRebel
· 01-21 17:50
To be honest, this theory sounds good, but can Vanar really support 3 billion users? I'm more concerned about when we can see real data instead of just PPT slides.
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RatioHunter
· 01-21 17:48
Post-install AI is really just patching and mending; it's better to start from scratch.
I think Vanar has grasped the key idea... but can it really turn things around by 2026? Let's wait and see.
The point about memory loss is spot on; this version of myNeutron feels like it's just patching that hole.
Forget it, these big promises should wait until they actually materialize before hyping.
A poor foundational design makes all the added features above pointless.
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SchrodingerWallet
· 01-21 17:46
Basically, the current blockchains are just patchwork; the real need is to fundamentally change them.
This architecture is indeed impressive. I'm interested in the native memory part, and Vanar's approach is quite on point.
Auto-Bundling is quite a clever move; finally, there's no need to repeatedly feed historical data.
Discussing 2026 now is a bit early, but retrofitting AI is indeed a band-aid solution and not a fundamental fix.
That's why some projects are destined to be eliminated; the difference in architecture at that level is truly worlds apart.
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ShortingEnthusiast
· 01-21 17:42
Transforming hardware from the ground up is the real way to go. The previous aftermarket solutions were indeed shady.
I like Vanar's idea, but we'll have to wait until 2026 to see the real effects. It's a bit early to hype it now.
Auto-bundling really addresses a pain point; the memory loss issue makes the AI agent seem like someone with dementia.
The figure of 3 billion users sounds a bit exaggerated. Who would believe that?
This time, someone finally got the point. It's not just about adding features; it's a complete rethinking.
By 2026, the role of AI in Web3 will undergo a complete transformation—no longer just an auxiliary feature, but the core force fundamentally reshaping the entire ecosystem.
The current problem is quite painful. Traditional blockchain architectures are exposed when faced with AI agents: they lack memory, have weak reasoning capabilities, and cannot automate execution. These seemingly technical details are actually the biggest obstacles preventing AI agents from functioning effectively.
Vanar Chain's approach is different. From its inception as a Layer 1, it treats AI as the main feature—not an afterthought. The underlying layer is equipped with native memory, on-chain reasoning, automatic execution, and instant settlement. In other words, this chain is redesigned for 3 billion users and new entities like AI agents.
Why does an AI-first architecture differ so much from an add-on AI solution? Simply put, the latter is about forcibly stacking AI functions onto an existing stateless execution framework, resulting in repeated loss of context, reduced efficiency, and trust issues. Vanar doesn’t do it that way—it understands from the start what AI agents need: not occasional human-like interactions, but continuous memory, real-time thinking, and fully autonomous actions.
The recently launched myNeutron v1.3 is a vivid example. The Auto-Bundling feature automatically organizes new Seeds into appropriate Bundles, significantly reducing manual effort to maintain context. What’s the benefit? AI workflows no longer need to repeatedly input the same historical data due to 'memory loss.'
At its core, this represents a deep cognitive shift: it’s not about slapping an AI label onto an old system, but about recognizing that AI agents and human users are fundamentally different beings, requiring infrastructure to be adapted from the ground up.