So, okay—"open artificial intelligence." I've been hearing that phrase tossed around a lot lately. Like, it’s everywhere—LinkedIn posts, podcasts, some guy at a co-working space wouldn’t shut up about it while chewing too loudly on his bagel. And I kept thinking… do we all really know what we mean by “open AI”? Or are we just pretending? Because I swear, the more I googled, the more I ended up staring at ten different answers that kind of said the same thing, but also didn’t. And look, I’m not gonna pretend I got it right the first time. At one point, I thought “open AI” just meant… You know, OpenAI. The company. ChatGPT, DALL·E, all that stuff. But nope. Turns out there’s this whole conversation going on—under the radar, or maybe just buried in overly complicated tech lingo—about what actual open artificial intelligence even is . Like… who decides what’s open? What makes an AI “open”? Is it about sharing the code? The data? The training weights? (Yeah, that last ...