The purpose of the article is to examine how well-known scientists assess the potential long-term risks of artificial intelligence (AI). It examines their contribution to the development of generative AI technologies, as well as the advocacy for safe AI by the famous CanadianBritish scientist, 2024 Nobel Prize winner Jeffrey Hinton, and his students and colleagues in the field of machine learning, who share his ideas or, on the contrary, oppose him (I. Sutskever, J. Bengio, J. LeCun). The warnings of scientists, programmers, and entrepreneurs are (G. Hinton, J. Bengio, I. Sutskever, S. Balaji, E. Musk, and others) about the uncontrollable consequences of the competitive race between high-tech companies such as OpenAI, Google, Anthropic, Microsoft, as well as their advocacy for new regulatory approaches in this area, are described. The article shows how researchers are forced to come into conflict with the interests of technology corporations in order to convey information about the risks of AI to a wide range of people.