1. Теоретическая физика в словах: математика, IT и ИИ — языки, инструменты, скорость и качество.

Theoretical condensed matter physics is a field that studies almost all matter around us: crystals, liquids, nanostructures, and the materials of modern computers and smartphones. This conversation explores the boundaries between theoretical physicists, experimentalists, and technologists; the role of mathematics, programming, and artificial intelligence in modern science; and why symmetry and topology have become the universal language of research. A separate section explores the path to science, the Ioffe Physics and Technology School, and the environment in which scientists are formed. ----------------------------------------------------------------------------- Scientific Topics Channel! Support the channel with a Donation🧧💰👇. Transfer to card: Sber: 4817 7601 3927 9347 T-Bank: 2200 7017 8811 7452 Early access services, watch videos early and support the channel: Subscribe to Boosty • https://boosty.to/ivanovskiy/donate Subscribe to VK_Donut • https://vk.com/donut/ivanovskiysergey Social media channel 👇 Telegram • https://t.me/ivanovskiysergey VK • https://vk.com/ivanovskiysergey Zen • https://dzen.ru/ivanovskiysergey Rutube • https://rutube.ru/video/person/30197834 ------------------------------------------------------------------------------- In the first Part of the conversation discusses how physics studies the general nature of phenomena on a wide range of scales—from the cosmos to the subatomic level—and engineers apply this knowledge to the creation of devices. In the 20th century, physics split into theoretical and experimental branches due to the increasing complexity of equipment and mathematical apparatus: one person can no longer master both fields with equal depth. A third branch—technology—emerged: today, neither theoretician nor experimentalist can function without a specialist in technology. Semiconductor technology is compared to art—a new structure with desired properties is assembled from individual atoms. A large section is devoted to the role of mathematics. The idea is expressed that mathematics is not only a science, but also the universal language of the natural sciences. If a physical statement can be written as a formula, it can be verified, refuted, used in calculations, and compared with experiment. Mathematics and physics are developing in close collaboration: Newton developed calculus to address specific physical problems, while abstract concepts like topology later proved key in condensed matter physics. A separate topic is the role of IT and programming languages. Modern problems in theoretical physics cannot be solved solely with pen and paper: numerical calculations, modeling, mathematical packages (Mathematica, Maple, etc.), and online services are required. Programming languages ​​are chosen based on convenience and resource efficiency. The emergence of artificial intelligence in scientific work is discussed in detail. AI can speed up code writing, assist with calculations, and suggest solutions to problems—but it often makes mistakes, producing formulas that appear correct but are different. Ethical questions are raised: is AI considered a co-author, how to verify its results, and how scientific ethics is changing. Using an international conference as an example, the growing number of low-quality articles written using AI and the challenges facing scientific journals are discussed. It is emphasized that AI cannot yet produce new knowledge—that remains the role of humans. The topic of education is touched upon: the level of technical education in strong schools and universities is maintained by constantly updating their tasks, but the overall picture is uneven. Previously, schoolchildren were taught to use slide rules and Bradis tables. These skills have disappeared, and that's no big deal; it's more important to be able to verify the results produced by a machine: limiting cases, asymptotics, comparison with numerical calculations. The final section covers a personal journey: a math club, a physics and technology school (now the Alferov Physics and Technology School Lyceum), the Polytechnic University, and the theoretical sector of the Moscow Institute of Physics and Technology. An instructive story about a broken setup during a school internship became the deciding factor in favor of theoretical physics: not only technical discipline is important, but also the understanding that an experiment is teamwork, while theory is more appealing to those who value independent thought. The role of teachers, meetings with Alferov, the scientific advisor, and the atmosphere of the institute, which became a "second home," are discussed. Timestamps: 0:00 Introduction and Topic of the Episode 2:04 Where is the Line Between a Physicist, Engineer, Experimentalist, and Theorist 5:11 The Division of Physics into Theoretical and Experimental 6:41 What is Condensed Matter Physics 8:59 Mathematics as the Universal Language of Science 13:40 Physics and Mathematics. Topology...