| Our brain does it better. That tells you AI models could do it better. I'll note five things the brain has or might which helps: 1. Information is often grounded in the senses whichh process real data. The brain can tell if new data is like what's actually real. 2. The brain has a multi-part, memory subsystem that's tied into its other subsystems. Only a few, artificial architectures had both neural networks and a memory system. One claims low hallucinations. 3. There's a part of the brain that's damaged in many delusional people. It might be an anti-hallucination mechanism. 4. We learn to trust specific people, like our parents, early on. Then, we believe more strongly what they teach us than what random people say. 5. We have some ability to focus on and integrate the information that's more important to us. We let go of or barely use the rest. I think hallucinations are the weaknesses of man's architectural choices. Some might be built into the pretraining data. We wont know until the artificial, neural networks achieve parity in features I mentioned to God's neural network. The remaining differences in performance might be pretraining or other missing features. |
... I mean, this is likely strictly true, if you define 'AI model' to mean 'any conceivable AI model'. If you're talking about LLMs, though, it's not a reasonable conclusion; LLMs do not work at all like a human brain. LLM 'hallucinations' are nothing like human hallucinations, and the term is really very unhelpful.