I've noticed that large models from different vendors often end up converging on more or less the same ideas (probably because they're trained on more or less the same data). A few days ago, I asked both Grok and ChatGPT to produce several stories with an absurd twist, and they consistently generated the same twists, differing only in minor details. Often, they even used identical wording!

Is there any research into this phenomenon? Is code generation any different? Isn't there a chance that several "independent" models might produce the same (say, faulty) result?