This is called "hallucination" and I find it to be the biggest flaw with GPT-3 interfaces like ChatGPT. Basically, the system will start convincingly BSing at any point and as a user, you're never sure if any particular detail it outputs is actually correct. The problem is, these large language models are inherently kind of a black box, so how do you fix this kind of behavior? I started looking and it turns out that…
I'm not sure "hallucination" is the right word. I've seen it referred to as "stochastic parroting" elsewhere, and that probably gives more insight into what is happening. These large language models are trained to predict the next word for a given input. And they don't have a choice about this; they must predict the next word, even if it means that they have to make something up. So perhaps the solution would be to i…
Another cool feature would be to provide sources for the information: which web pages contributed most to a specific statement. Then a human can follow up manually.