CMX Lunch Seminar

With the emergence of ChatGPT, artificial intelligence has attracted enormous interest throughout society. ChatGPT appears to possess broad knowledge and an extraordinary memory, can answer questions almost instantaneously, and produces writing that few people can easily match. On the surface, it seems to know nearly everything and to be capable of doing almost anything, leading many to predict that AI will surpass human intelligence in the near future and replace a large fraction of human jobs. At the same time, users have observed that ChatGPT may make mistakes when questions are lengthy or involve complicated logic. It sometimes fabricates answers while presenting them with great confidence, so that unless the questioner already knows the subject well, an incorrect answer may appear entirely convincing. Its responses may also exhibit strong biases. These limitations have created considerable confusion and debate, including the question of whether such mistakes should simply be forgiven as part of the technology's development. In this talk, I will analyze both the successes and failures of ChatGPT from the perspective of the philosophy of science, identify the underlying causes of its limitations, examine whether AI can ultimately replace human intelligence, and address the broader question of whether AI will replace scientists.