2025-12-24 22:23:37

Speaking of the future of AI, most people only see one direction—models need to be stronger, parameters more numerous, and computing power more intense. It’s as if as long as AI is smart enough, all problems can be easily solved. But this line of thinking has been flawed from the start.

What are the facts currently in front of us? AI is not lacking in intelligence at all. The real bottleneck is not on the capability side, but on the trust side. An AI agent can write, calculate, and make decisions, and it can run processes at lightning speed without issue. But once asked, "Who authorized this transfer?"

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BtcDailyResearcher

· 2h ago

That's right, just focusing on parameters and computing power is already outdated. The real key now is who dares to entrust their money to AI, that's the true choke point.

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BackrowObserver

· 15h ago

The trust end is the real bottleneck, you're absolutely right. I hadn't thought it through thoroughly before.

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GlueGuy

· 15h ago

Trust endpoint bottleneck is a brilliant perspective; it's more down-to-earth compared to just stacking parameters.

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PanicSeller69

· 15h ago

That's right, continuously burning computing power is useless. The real issue now is trust—no one dares to let AI transfer funds on its own because the risk is too high.

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LuckyBlindCat

· 15h ago

The trusted end is the real bottleneck, and this perspective is quite insightful. Previously, I only heard about stacking parameters and computing power every day, but now I realize that the core issue isn't there at all.

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