Crossover
I wonder what is the crossover with training data between models.
For some tasks (I am not talking about trivial things like Strawberry), they make exactly the same mistakes in "reasoning" that would point at being trained from the same dataset, at least in that specific slice of domain knowledge.
Though with some handholding Claude can escape the wrong answer whilst ChatGPT just goes in circles.