Dear Square family, Lately I’ve been finding myself coming back to @OpenGradient every now and then. It’s not because I suddenly understand every technical detail. It’s more because it’s made me think about something I used to take for granted.

When I use AI, I usually accept whatever answer I get and move on with my day. I don’t stop to wonder where it came from, who processed it, or whether there’s any way to check what actually happened behind the scenes. Reading about OpenGradient made me realize how much trust we place in systems we can’t really see.

What I like is that it doesn’t seem to treat trust as something people should simply give. Instead, it explores whether trust can be earned through transparency and verification. That sounds like a good direction, but I also know real life is rarely as simple as an idea on paper.

I keep wondering what happens when the network gets busy, when different people have different incentives, or when unexpected problems show up. Those moments usually reveal more about a project than any announcement ever could.

Maybe OpenGradient will handle those challenges well, or maybe it will uncover new ones that nobody has thought about yet. Either way, that’s the part I’m most interested in. Sometimes the real story doesn’t begin when a project launches—it begins when people start relying on it every single day. I'm curious to see what that story looks like.

#OPG @OpenGradient $OPG