Nikita Kuznetsov: Artificial intelligence isn't magic—it's a technology that learns from data

Just a few decades ago, artificial intelligence was associated with science fiction movies and robots from the future. Today, AI has quietly become part of everyday life: it selects music, helps doctors analyze medical images, translates texts, and powers recommendations on digital platforms. But, according to Nikita Kuznetsov, there is still more emotion than understanding surrounding this technology. “When people hear ‘artificial intelligence,’ many imagine a machine that thinks like a human. In practice, it’s much more interesting—and much more complex. AI has no consciousness and doesn’t make decisions out of thin air. It learns to identify patterns in massive amounts of data,” explains Nikita Kuznetsov. The history of artificial intelligence began long before modern chatbots and neural networks. In 1956, at a conference in Dartmouth, a group of scientists first seriously discussed the creation of machine intelligence. At the time, the very idea seemed almost revolutionary: researchers believed that a computer would be able to perform tasks that were previously considered exclusively human. Later, the Lisp programming language emerged, becoming the foundation for early AI research. It was on such technologies that the first attempts to teach machines logic and analysis were based. But the real breakthrough came much later—with the growth of computing power and the emergence of big data. According to Kuznetsov, modern AI resembles not an “electronic brain,” but an...