GPU's typically compute faster than CPU's, so maybe that is the conversation it identifies it as? Meaning, when people ask about power difference between CPU an

GPU's typically compute faster than CPU's, so maybe that is the conversation it identifies it as? Meaning, when people ask about power difference between CPU and GPU they say they aren't directly comparable, but the GPU has much more processing power. That would mean it would identify an old GPU as faster than a modern CPU, even though it isn't, since it would slot that into the same conversation. The hard part with finding out the source for the logic is that it can map items to similar items in many ways, and there are trillions of conversations out there that it could map it to, so it can do quite a lot of heuristics that will work fairly well for naive questions even though it can't apply any direct logic. If it could link to similar conversations that it bases its reasoning on then that would probably greatly help understand where its logic would fail. So before it can do that we probably wont be able to eliminate these failure modes, because humans aren't random enough to generate the edge cases unless they understand what logic the model used. For example, comparing an old computer to a modern GPU might seem random to you, but to ChatGPT it just sees something like "This looks like a CPU vs GPU comparison, aha so I map it to: {CPU} isn't really comparable to {GPU}, but {GPU} has much more processing power". If you could see something like that then it would be obvious where it would fail, but without that it looks like magic.