Remember when the world freaked out over encryption, thinking every coded message was a digital skeleton key to anarchy? Yeah, the 90s were wild with the whole PGP (Pretty Good Privacy) encryption fight. The government basically treated encryption like it was some kind of wizardry that only "good guys" should have. Fast forward to today, and it's like we're stuck on repeat with open model weights.<p>Just like code was the battleground back then, open model weights are the new frontier. Think about it—code is just a bunch of instructions, right? Well, model weights are pretty much the same; they're the brains behind AI, telling it how to think and learn. Saying "nah, you can't share those" is like trying to put a genie back in its bottle after it's shown you it can grant wishes.<p>The whole deal with PGP was about privacy, sending messages without worrying about prying eyes. Fast forward, and model weights are about sharing knowledge, making AI smarter and more accessible. Blocking that flow of information? It's like telling scientists they can't share their research because someone, somewhere, might do something bad with it.<p>Code lets us communicate with machines, model weights let machines learn from us. Both are about building and sharing knowledge. When the government tried to control encryption, it wasn't just about keeping secrets; it was about who gets to have a voice and who gets to listen. With open model weights, we're talking about who gets to learn and who gets to teach.<p>Banning or restricting access to model weights feels eerily similar to those encryption wars. It's a move that says, "We're not sure we trust you with this power." But just like with code, the answer isn't locking it away. It's about education, responsible use, and embracing the potential for good.<p>Innovation thrives on openness. Whether it's the lines of code that secure our digital lives or the model weights that could revolutionize AI, putting up walls only slows us down. We've been down this road before. Let's not make the same mistake of thinking we can control innovation by restricting access.