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The cost of producing information is collapsing. Knowledge that once required expertise can now be generated in seconds. Research. Analysis. Reports. Opinions. AI is making intelligence more accessible than ever before. At first, that sounds like progress. But the more I think about it, the more I notice a contradiction forming. The internet spent decades solving the problem of information scarcity. Now AI may be creating a different problem altogether. Verification doesn't scale as fast as generation. Every day, more intelligence is being produced. More answers. More content. More conclusions. But our ability to verify all of it isn't growing at the same pace. And that creates an uncomfortable tension. AI is making intelligence abundant. But trust may be becoming scarce. I think many people assume that more intelligence automatically creates more certainty. I'm not sure that's true. Intelligence and certainty are not the same thing. An answer can sound intelligent. It can sound convincing. It can sound authoritative. And still leave us unable to verify where it came from or why it should be trusted. The more intelligence we generate... the harder certainty becomes. Maybe that's the real challenge emerging beneath the AI race. Not generating intelligence. Verifying it. Because if trust becomes one of the scarcest resources in the intelligence economy, it can't remain a social assumption. It may need infrastructure. That is one reason OpenGradient caught my attention. While much of the industry focuses on producing more intelligence, OpenGradient is exploring how intelligence can become verifiable through open infrastructure and proof-based systems. Not just smarter outputs. More accountable ones. Maybe I'm looking too far ahead. But if AI continues making intelligence cheaper and more abundant, trust may become increasingly valuable. And if trust becomes the scarcest resource in the intelligence economy... what becomes the real currency of the information age? $OPG @OpenGradient #opg

The cost of producing information is collapsing.
Knowledge that once required expertise can now be generated in seconds.
Research.
Analysis.
Reports.
Opinions.
AI is making intelligence more accessible than ever before.
At first, that sounds like progress.
But the more I think about it, the more I notice a contradiction forming.
The internet spent decades solving the problem of information scarcity.
Now AI may be creating a different problem altogether.
Verification doesn't scale as fast as generation.
Every day, more intelligence is being produced.
More answers.
More content.
More conclusions.
But our ability to verify all of it isn't growing at the same pace.
And that creates an uncomfortable tension.
AI is making intelligence abundant.
But trust may be becoming scarce.
I think many people assume that more intelligence automatically creates more certainty.
I'm not sure that's true.
Intelligence and certainty are not the same thing.
An answer can sound intelligent.
It can sound convincing.
It can sound authoritative.
And still leave us unable to verify where it came from or why it should be trusted.
The more intelligence we generate...
the harder certainty becomes.
Maybe that's the real challenge emerging beneath the AI race.
Not generating intelligence.
Verifying it.
Because if trust becomes one of the scarcest resources in the intelligence economy, it can't remain a social assumption.
It may need infrastructure.
That is one reason OpenGradient caught my attention.
While much of the industry focuses on producing more intelligence, OpenGradient is exploring how intelligence can become verifiable through open infrastructure and proof-based systems.
Not just smarter outputs.
More accountable ones.
Maybe I'm looking too far ahead.
But if AI continues making intelligence cheaper and more abundant, trust may become increasingly valuable.
And if trust becomes the scarcest resource in the intelligence economy...
what becomes the real currency of the information age?
$OPG @OpenGradient #opg

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