See https://openai.com/index/navier-stokes-solution/
> Following an investigation, we have confirmed that Buckmaster’s Codex prompts over the two months preceding this announcement and paper on September 8, 2026, could not have influenced the system in any way, including through training. The OpenAI internal model used for this result was developed through large-scale reinforcement learning on top of a previously pretrained model. Our proofs also differ significantly. In the Euler case, Alpöge and Buckmaster proved a result with external forcing, while OpenAI’s system proved a result without external forcing.
...and, I would add, it would be an informed choice, wouldn't you agree?
They are certainly biased, but I don't think such bias is strong enough to cause them to lie about facts. We may agree to disagree here.
You want to publish in a journal you follow their rules. You want to publish something? Go ahead.
And results are not great results because they are published in top journals. Top journals are top journals because they attract the publication of great results. But the math always speaks for itself.
You have a very institutionalised idea of what publishing means.
I feel like I am going crazy, since this is taught in most academic writing courses. Being replicable or persuasive or correct is not enough. It needs to be perceived as valuable, or it will not get through. I learned that the hard way, and found others that taught this message only later.