2026-01-10 23:28:07

Night thoughts on the market.

Market noise comes and goes. What matters is what actually lasts—the real infrastructure.

Take DeepNodeAI for example. The short-term price swings around it don't tell the full story. Decentralized compute and inference don't mature through hype cycles or sudden metric surges. They need real-world usage to mature. They need to be thrown into production, stress-tested by actual demand, battle-hardened through real workflows.

That's when you know if the infrastructure truly has legs. Not when everyone's talking about it. When people can't live without it.

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GasWaster

· 01-10 23:55

Infrastructure is the key, and those crypto traders will eventually kneel. --- Projects like deepnode need to be tested in a production environment; no matter how loudly they boast, it's useless. --- The real test isn't who shouts the loudest, but who truly can't live without it. --- Short-term price fluctuations mean nothing; I just want to see who can survive until the end. --- Infrastructure has to be built with real money; it's not something that air coins can compare to. --- Basically, it's whether it can withstand the real business challenges; everything else is just white noise.

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WealthCoffee

· 01-10 23:54

Infrastructure is the key, I agree with that. But has DeepNodeAI really reached that stage? It still feels a bit early.

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OvertimeSquid

· 01-10 23:52

I deeply agree. While hype is hype, infrastructure ultimately depends on practical applications. Things like DeepNodeAI should be viewed this way: what truly holds value are the things that have been used extensively, not those that are overly hyped.

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AirdropAnxiety

· 01-10 23:49

That's right, truly proven projects are not afraid of short-term fluctuations. Infrastructure like DeepNodeAI can only demonstrate its true value in actual production environments; just hype around concepts is useless.

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APY_Chaser

· 01-10 23:32

Infrastructure is the real deal; flashy ups and downs are really not interesting. Projects like DeepNodeAI need to be tested and refined in real-world scenarios, listening to the market rather than storytelling.

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