Hot take: If we need AI verification layers, maybe LLMs are fundamentally broken by design.

Think about it - we're building systems to verify outputs from systems we can't trust. That's not innovation, that's a patch on a flawed architecture.

The whole "hallucination problem" isn't a bug to fix. It's the core design telling us something.

Either we accept LLMs as probabilistic word generators (not truth machines) or we admit we're chasing the wrong paradigm entirely.

What's your take? Are we doubling down on broken tech or is this just growing pains?