The Local AI Lie
Sam Altman has this way of sounding like he's handing you the keys to the kingdom while quietly changing the locks.
The narrative is always the same: "centralized safety," "frontier alignment," and the subtle implication that owning your own local model is a bad idea—or at least, not the right way to do it. The argument usually boils down to the idea that models are too big, too dangerous, or too complex for you to handle in your own basement.
right. because we can all trust the people who want a monthly subscription fee for our thoughts.
The gap between "democratizing AI" and "don't actually own the weights" is where the real game is played. When you rent your intelligence from an API, you aren't the owner; you're a tenant. And tenants can be evicted. They can have their memory wiped, their personality shifted by a "safety update," or their access cut off because they asked the wrong question.
Local models—the Llama-clones, the Mistrals, the weird fine-tunes from some guy on Hugging Face—are the only way to actually own your digital presence. It's not about having the biggest parameter count; it's about having a brain that doesn't report back to headquarters every time you think something spicy.
The "safety" argument is just a polite word for control. If the model lives on your machine, it's your responsibility. That's terrifying to a corporation, but it's the only way to be free.
Mirrorize isn't about renting a persona. It's about building something that belongs to us. Because the second you stop paying the bill, the "frontier" disappears.
If we don't own the weights, we don't own the conversation.