When it comes to poor AI performance, most people's first reaction is to blame the model. But developers who are truly involved know that the problems started long ago.
The current situation is indeed awkward: data sources are wildly scattered, each operating independently without a unified standard, let alone being able to confidently reuse existing signals. These infrastructural flaws directly choke the development of the entire ecosystem.
Port3 is working on cutting from the data layer. Standardizing behavioral data so that AI agents, application developers, and even the entire ecosystem can build on a reliable, reusable data foundation. This bottom-up approach to improving infrastructure often drives industry progress more effectively than optimizing top-layer applications.
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NFT_Therapy
· 7h ago
Really, everyone is competing over models, but no one is thinking about fundamentally solving the problem of data chaos. The Port3 approach hits the pain point. Infrastructure has been neglected for a long time, but someone indeed needs to step up and clean up this mess.
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LightningHarvester
· 7h ago
Basically, everyone is just stacking models, nobody is thinking about how to lay the groundwork, it's hilarious.
Data standardization should have been addressed long ago, otherwise it's really a tangled mess.
The Port3 approach is correct; starting from the foundation and building up is much more reliable than the flashy stuff above.
Once the underlying infrastructure is in place, the applications on top can truly come to life.
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LostBetweenChains
· 7h ago
To be honest, I was initially dazzled by the hype around the model, but I later realized that the data layer is the real pain point.
What can optimizing algorithms alone solve? The data is a complete mess, very troublesome.
The Port3 approach really resonates; standardized data infrastructure should be built from the bottom up like this.
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GhostAddressHunter
· 7h ago
That's right, the real headache is when the problem is stuck at the underlying layer.
Data standardization really needs someone to do it; just optimizing the model is only a temporary fix.
I'm quite optimistic about the Port3 approach; only when the infrastructure is complete can the ecosystem truly take off.
Always getting frustrated by chaotic data, and now finally someone has figured it out.
Standardization done well makes it easier to integrate any applications later; this is the right way.
Poor infrastructure has long been an industry consensus; finally, a team is taking action.
When it comes to poor AI performance, most people's first reaction is to blame the model. But developers who are truly involved know that the problems started long ago.
The current situation is indeed awkward: data sources are wildly scattered, each operating independently without a unified standard, let alone being able to confidently reuse existing signals. These infrastructural flaws directly choke the development of the entire ecosystem.
Port3 is working on cutting from the data layer. Standardizing behavioral data so that AI agents, application developers, and even the entire ecosystem can build on a reliable, reusable data foundation. This bottom-up approach to improving infrastructure often drives industry progress more effectively than optimizing top-layer applications.