

Its also possible we’ve reached the limits of the training data.
This is my thinking too. I don’t know how to solve the problem either because datasets created after about 2022 likely are polluted with LLM results baked in. With even a 95% precision that means 5% hallucination baked into the dataset. I can’t imagine enough grounding is possible to mitigate that. As the years go forward the problem only gets worse because more LLM results will be fed back in as training data.





I think you could make a sound argument that anti-abortion people also negatively affect people that can’t get pregnant in a number of ways. One of the prime targets of anti-abortion people is the organization Planned Parenthood. While Planned Parenthood does offer abortion services, they also offer many healthcare related services around other health concerns.
So both of these groups are clearly people that can’t get pregnant, but are also negatively affected when anti-abortion people’s actions lead to a shut down of a local clinic serving these populations.