None of those things are red flags?

> Any “correct” synthetic training data is either going to be badly biased, or be limited to such banal “logical” output that the model it trains will be entirely unable to process natural language input and you’ll need to specify your questions in something more precise. At which point, we’re back to traditional programming languages, only with several layers of unnecessary and expensive processing going on in between.

If it had that problem, existing models wouldn't have been able to learn how to code at the same time as understanding naural language.

At they limited? Sure. But not in the way you're saying here.