Happy is he who has been able to know the causes of things: Mathematics in the era of LLMs

This Habr article discusses the rapid impact of Large Language Models (LLMs) on the field of mathematics. The translation presents reflections by mathematician Nestor Guillen, originally published on Terence Tao's blog, regarding how AI is transforming scientific inquiry and programming. The text explores the future of mathematics: will AI become a tool that expands researchers' capabilities, or a threat to traditional methods of discovery? The experience of mathematicians in adapting to the 'AI revolution' is presented as a crucial precedent for other industries that may face similar shifts. Readers are also encouraged to review the key points from Terence Tao's public lecture on the role of artificial intelligence in modern mathematics. The article emphasizes the need for a deep understanding of how automation is changing the foundations of intellectual work and calls for a critical analysis of the interaction between humans and neural networks in the scientific community.