Do you understand how it picks the next word from a query? It understands nothing, it just uses vast computer power to select the next word a human once used in a similar instance from that training using statistics. One of the side-effects feeding back LLM products back into the process is it quickly degrades the statistical basis and starts to hallucinate even more than normal.when you say " don't learn or take account of the past "
is that true ?
they are feed the past during training .
https://forum.allaboutcircuits.com/threads/chatgpt.191318/post-1829927
Using AI-generated data to train AI could introduce further errors into already error-prone models. Large language models regularly present false information as fact. If they generate incorrect output that is itself used to train other AI models, the errors can be absorbed by those models and amplified over time, making it more and more difficult to work out their origins, says Ilia Shumailov, a junior research fellow in computer science at Oxford University, who was not involved in the project.
Even worse, there’s no simple fix. “The problem is, when you’re using artificial data, you acquire the errors from the misunderstandings of the models and statistical errors,” he says. “You need to make sure that your errors are not biasing the output of other models, and there’s no simple way to do that.”
