I just sent the report to my boss.
I felt like I was quicker than usual, so I was a bit stoked.
A moment later, the boss called, and I thought I was gonna get some praise.
But instead, I got chewed out for all the wrong data.
After hanging up, I realized: I made that report using ChatGPT and didn't double-check a single line.
What made me pause wasn't just the wrong report.
It was that I trusted an answer so much I skipped the verification step.
Back when ChatGPT first dropped, this kind of thing was rare.
I would verify almost everything because it messed up quite a bit.
But now, AI has leveled up a lot.
And maybe that’s the most surprising change.
Not that AI is smarter.
But that AI feels more familiar.
No one checks what they’ve come to trust.
That’s when I started seeing a different issue.
What happens when AI gets good enough for people to start believing in it?
Maybe that’s a much more interesting question than how much smarter AI will get.
And that’s where @OpenGradient starts to become notable.
An AI that’s right 99% of the time makes that 1% more crucial than ever.
Capability creates answers.
Verification decides when to trust those answers.
The paradox is:
The stronger AI gets.
The less people verify.
When verification drops, it becomes even more essential.
If the future of AI is to be everywhere, the next race might not be about creating more intelligence.
But about helping users know when to trust that intelligence.
Maybe that’s why verification layers are becoming more important.
And that’s where OpenGradient has been focusing early on.
The stronger AI gets.
The question “Is it right?” will matter more than ever. #OPG $OPG
I felt like I was quicker than usual, so I was a bit stoked.
A moment later, the boss called, and I thought I was gonna get some praise.
But instead, I got chewed out for all the wrong data.
After hanging up, I realized: I made that report using ChatGPT and didn't double-check a single line.
What made me pause wasn't just the wrong report.
It was that I trusted an answer so much I skipped the verification step.
Back when ChatGPT first dropped, this kind of thing was rare.
I would verify almost everything because it messed up quite a bit.
But now, AI has leveled up a lot.
And maybe that’s the most surprising change.
Not that AI is smarter.
But that AI feels more familiar.
No one checks what they’ve come to trust.
That’s when I started seeing a different issue.
What happens when AI gets good enough for people to start believing in it?
Maybe that’s a much more interesting question than how much smarter AI will get.
And that’s where @OpenGradient starts to become notable.
An AI that’s right 99% of the time makes that 1% more crucial than ever.
Capability creates answers.
Verification decides when to trust those answers.
The paradox is:
The stronger AI gets.
The less people verify.
When verification drops, it becomes even more essential.
If the future of AI is to be everywhere, the next race might not be about creating more intelligence.
But about helping users know when to trust that intelligence.
Maybe that’s why verification layers are becoming more important.
And that’s where OpenGradient has been focusing early on.
The stronger AI gets.
The question “Is it right?” will matter more than ever. #OPG $OPG