2026-01-17 15:26:16

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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BrokenRugs

· 01-20 03:30

That's right, but right now everyone is talking about infrastructure, and there are very few who truly dare to tackle it from the data layer. Port3's approach is correct.

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WhaleSurfer

· 01-19 06:19

The data layer is the key, this is a thumbs up. Those previous projects only focused on modeling, and the data was a mess. Who's to blame? The infrastructure part is indeed a bottleneck, the Port3 approach is correct. Standardize data? It should have been done like this a long time ago, otherwise, endless arguments. The real breakthrough isn't in the algorithm, but in whether you can lay a solid foundation. I strongly agree. It's a common topic, but it's quite right. Poor infrastructure makes everything else pointless. When the data is so chaotic, everyone suffers; the root cause must be addressed. It's interesting, at least someone is taking infrastructure seriously.

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NFT_Therapy

· 01-17 15:56

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

· 01-17 15:55

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

· 01-17 15:50

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

· 01-17 15:48

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.

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