1. Гипотеза якобиана в ее исходной формулировке сформулирована для всех

. То есть если она опровергнута для частного случая

, то она опровергнута в исходной формулировке.
Это, возможно, так для тех, кто далек от темы, кто после известной новости полез в викепедию (вроде меня). У некоторых, из тех, кто ближе к теме, под Гипотезой якобиана понимается имеено случай

.
https://proofsandprompts.com/2026/08/18/on-protecting-mathematics-from-llm-companies-monopoly/Цитата:
I have paid attention to the recent discussions on the Jacobian conjecture. I found that the most historically concerned version n=2 remains open, while Anthropic claimed that they “resolved the Jacobian conjecture”. This is highly misleading, because it is mostly dimension-indexed, just like the generalized Poincaré conjecture; also, at least for a group of mathematicians, this name only referred to the 2-dimensional case (since there’re many positive results/evidence in this case), and the higher-dimensional versions were frequently labeled with “almost no evidence“.
Цитата:
On one hand they claimed “Claude disproved JC”; on the other hand, they said “the study of JC led him to scrape by doing odd jobs for many years.” But this is wrong, since Zhang worked only on 2 dimensions, and this JC is not the one disproved.
Т.е. утверждают, что математик потерял столько времени напрасно, решая проблему, которую быстро решила LLM, а на самом деле он решал проблему исключительно для

, возможно, потому что другие случаи просто неинтересны.
Цитата:
One can argue that such distortions are the fault of the media rather than of AI companies themselves. Sometimes that is true, but the distinction is not always so clear. Technology companies possess extraordinary resources for shaping public narratives, and a proportion of modern media’s reports are in fact advertorials.
Миллиарды долларов тратятся этими корпорациями на явную и неявную рекламу.
Цитата:
The companies can create the impression that a result must be Annals-level, or Fields medal level, while thousands of results of comparable or greater mathematical depth in the same year may receive almost no public attention. Mathematical importance has never been identical to publicity, of course, but this kind of noise can also affect mathematicians, since most of us are not polymaths. Mathematicians should be especially wary of allowing this noise to distort their own standards of judgment.
Проблемы Эрдеша, о которых мало кто знал, вдруг, стали самыми важными проблемами в математике.