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数字创变

06/21 20:00

#opg $OPG I used to think the hardest problem in AI would be creating intelligence.

The more I watch this space, the more I question that.

Because intelligence is becoming easier to produce. Models are improving, access is expanding, and machines are generating more than ever before.

But something feels missing.

When information became abundant, the world didn’t suddenly become wiser. We needed systems to filter, verify, and understand what mattered.

Maybe AI follows the same pattern.

The next challenge might not be making machines smarter. It might be creating environments where intelligence can be trusted, coordinated, and used without relying on a single point of control.

What keeps standing out to me is that Open Intelligence represents a bigger shift I’m noticing across technology: value is moving from ownership toward participation, from isolated systems toward connected networks.

The hidden bottleneck may not be computation anymore.

It may be trust.

Because at scale, intelligence without verification creates uncertainty. But intelligence connected through reliable systems starts becoming something different.

I’m not sure we fully understand what happens when intelligence stops being a tool and starts becoming an infrastructure layer.@OpenGradient
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