#opg $OPG The More AI Gets Restricted The More Verification Starts To Matter

I was reading about the rules around using some advanced AI models and it got me thinking about something that people do not talk about very much.

Most people think about who has the AI model.

I keep thinking about who gets to check what that model is actually doing.

The AI industry is now controlled by a big companies. They are in charge of the models the systems, the updates and often the rules about who can use them. When new rules appear, whether for safety, policy or laws users usually have to accept them.

That is when I noticed OpenGradient.

What is different about OpenGradient is not that they promise AI. Many projects promise that. The interesting thing is that they want to create a system where we can check what the AI is doing instead of just trusting it. The system is designed so that we can see what the AI is doing it has computers for this and it uses secret codes to verify things instead of relying on one person to be in charge.

There are still some questions.

Checking what the AI is doing sounds like an idea but how many users will actually do it? Will developers be okay with it being more complicated if it's easier to use the big companies? Can a system that is not controlled by one company compete with the AI companies that spend a lot of money on systems?

I have seen many projects that use codes claim that they are fair but they just recreate the same problems they were supposed to fix.

OpenGradients focus on users being in charge of their information being able to check what the AI is doing and being able to move their AI information around feels like a real attempt to do things differently.

The real test is whether people will eventually decide that trusting things is not enough.

If AI starts being used for things like money, healthcare, who we are and public systems should we be able to check what it is doing?

Are we moving towards a future where being able to check the AI is just as important as the AI itself? @OpenGradient