Insights into science and artificial intelligence. Part 2 In the first part of the program, we discovered that large language models no longer just write texts and process datasets. It turns out that neural networks are able to create unexpected analogies that lead scientists to new hypotheses. But how much can you trust them? Let's understand where the line passes between helping and replacing professional responsibility, and why even for an ordinary person, personal insight in a chat with a neural network can turn out to be more than just a method of self-knowledge. The guest of the program: Yekaterina Tikhomirova. Doctor of Philosophy, Professor at the Department of Philosophy, Ontology and Theory of Knowledge, MEPhI National University for Nuclear Research. ***.
All podcasts are available on the platform Watch our articles and videos in the "It's all about the numbers" genre on MAX.