I’ll take a wild guess that they were curating earlier data sets to ensure the output was good enough to make people think it was useful. Then they went for quantity over quality assuming the ‘reasoning’ would be able to handle sorting what is corrext and what isn’t and it doesn’t work that way.

Garbage in, garbage out is my guess. It certainly matches up with other AI systems regurgitating reddit jokes as facts and it is likely OpenAI has similar training data.